paper_url
stringlengths 40
40
| comment
stringlengths 434
1.26k
⌀ |
---|---|
https://huggingface.co/papers/2311.00945 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts](https://huggingface.co/papers/2309.11977) (2023)
* [High-Fidelity Speech Synthesis with Minimal Supervision: All Using Diffusion Models](https://huggingface.co/papers/2309.15512) (2023)
* [Style Description based Text-to-Speech with Conditional Prosodic Layer Normalization based Diffusion GAN](https://huggingface.co/papers/2310.18169) (2023)
* [DurIAN-E: Duration Informed Attention Network For Expressive Text-to-Speech Synthesis](https://huggingface.co/papers/2309.12792) (2023)
* [VoiceLDM: Text-to-Speech with Environmental Context](https://huggingface.co/papers/2309.13664) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.01455 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Gen2Sim: Scaling up Robot Learning in Simulation with Generative Models](https://huggingface.co/papers/2310.18308) (2023)
* [GenSim: Generating Robotic Simulation Tasks via Large Language Models](https://huggingface.co/papers/2310.01361) (2023)
* [Lifelong Robot Learning with Human Assisted Language Planners](https://huggingface.co/papers/2309.14321) (2023)
* [Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning](https://huggingface.co/papers/2309.11489) (2023)
* [Diff-Transfer: Model-based Robotic Manipulation Skill Transfer via Differentiable Physics Simulation](https://huggingface.co/papers/2310.04930) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.00895 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [On The Open Prompt Challenge In Conditional Audio Generation](https://huggingface.co/papers/2311.00897) (2023)
* [Retrieval-Augmented Text-to-Audio Generation](https://huggingface.co/papers/2309.08051) (2023)
* [RECAP: Retrieval-Augmented Audio Captioning](https://huggingface.co/papers/2309.09836) (2023)
* [VoiceLDM: Text-to-Speech with Environmental Context](https://huggingface.co/papers/2309.13664) (2023)
* [PromptSpeaker: Speaker Generation Based on Text Descriptions](https://huggingface.co/papers/2310.05001) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.02772 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction](https://huggingface.co/papers/2310.02720) (2023)
* [Fast-HuBERT: An Efficient Training Framework for Self-Supervised Speech Representation Learning](https://huggingface.co/papers/2309.13860) (2023)
* [CoLLD: Contrastive Layer-to-layer Distillation for Compressing Multilingual Pre-trained Speech Encoders](https://huggingface.co/papers/2309.07707) (2023)
* [Training dynamic models using early exits for automatic speech recognition on resource-constrained devices](https://huggingface.co/papers/2309.09546) (2023)
* [Echotune: A Modular Extractor Leveraging the Variable-Length Nature of Speech in ASR Tasks](https://huggingface.co/papers/2309.07765) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.03079 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning](https://huggingface.co/papers/2310.09478) (2023)
* [Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning](https://huggingface.co/papers/2310.08166) (2023)
* [From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models](https://huggingface.co/papers/2310.08825) (2023)
* [SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models](https://huggingface.co/papers/2310.03291) (2023)
* [Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling](https://huggingface.co/papers/2310.04991) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.02849 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Can a student Large Language Model perform as well as it's teacher?](https://huggingface.co/papers/2310.02421) (2023)
* [Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression](https://huggingface.co/papers/2310.15594) (2023)
* [A Comparative Analysis of Task-Agnostic Distillation Methods for Compressing Transformer Language Models](https://huggingface.co/papers/2310.08797) (2023)
* [Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication](https://huggingface.co/papers/2310.03188) (2023)
* [NetDistiller: Empowering Tiny Deep Learning via In-Situ Distillation](https://huggingface.co/papers/2310.19820) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.02103 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [TorchProbe: Fuzzing Dynamic Deep Learning Compilers](https://huggingface.co/papers/2310.20078) (2023)
* [Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations](https://huggingface.co/papers/2309.08978) (2023)
* [Learning Type Inference for Enhanced Dataflow Analysis](https://huggingface.co/papers/2310.00673) (2023)
* [GEVO-ML: Optimizing Machine Learning Code with Evolutionary Computation](https://huggingface.co/papers/2310.10211) (2023)
* [Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators](https://huggingface.co/papers/2310.17912) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.02542 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction](https://huggingface.co/papers/2309.13101) (2023)
* [4K4D: Real-Time 4D View Synthesis at 4K Resolution](https://huggingface.co/papers/2310.11448) (2023)
* [Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes](https://huggingface.co/papers/2310.08585) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.02262 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Attention Sorting Combats Recency Bias In Long Context Language Models](https://huggingface.co/papers/2310.01427) (2023)
* [LLM-augmented Preference Learning from Natural Language](https://huggingface.co/papers/2310.08523) (2023)
* [Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models](https://huggingface.co/papers/2310.20081) (2023)
* [(Dynamic) Prompting might be all you need to repair Compressed LLMs](https://huggingface.co/papers/2310.00867) (2023)
* [Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism](https://huggingface.co/papers/2310.16270) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.02382 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models](https://huggingface.co/papers/2309.14509) (2023)
* [LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers](https://huggingface.co/papers/2310.03294) (2023)
* [Rethinking Memory and Communication Cost for Efficient Large Language Model Training](https://huggingface.co/papers/2310.06003) (2023)
* [Ring Attention with Blockwise Transformers for Near-Infinite Context](https://huggingface.co/papers/2310.01889) (2023)
* [PIM-GPT: A Hybrid Process-in-Memory Accelerator for Autoregressive Transformers](https://huggingface.co/papers/2310.09385) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.03285 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Punica: Multi-Tenant LoRA Serving](https://huggingface.co/papers/2310.18547) (2023)
* [NOLA: Networks as Linear Combination of Low Rank Random Basis](https://huggingface.co/papers/2310.02556) (2023)
* [QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models](https://huggingface.co/papers/2309.14717) (2023)
* [LoRA ensembles for large language model fine-tuning](https://huggingface.co/papers/2310.00035) (2023)
* [Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling](https://huggingface.co/papers/2310.12100) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.02303 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Parameter Efficient Multi-task Model Fusion with Partial Linearization](https://huggingface.co/papers/2310.04742) (2023)
* [Scaled Prompt-Tuning for Few-Shot Natural Language Generation](https://huggingface.co/papers/2309.06759) (2023)
* [Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning](https://huggingface.co/papers/2310.11670) (2023)
* [Effective and Parameter-Efficient Reusing Fine-Tuned Models](https://huggingface.co/papers/2310.01886) (2023)
* [Sparse Fine-tuning for Inference Acceleration of Large Language Models](https://huggingface.co/papers/2310.06927) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.02462 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Generative AI vs. AGI: The Cognitive Strengths and Weaknesses of Modern LLMs](https://huggingface.co/papers/2309.10371) (2023)
* [Conceptual Framework for Autonomous Cognitive Entities](https://huggingface.co/papers/2310.06775) (2023)
* [Coordinated pausing: An evaluation-based coordination scheme for frontier AI developers](https://huggingface.co/papers/2310.00374) (2023)
* [Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics](https://huggingface.co/papers/2309.11981) (2023)
* [The Rise and Potential of Large Language Model Based Agents: A Survey](https://huggingface.co/papers/2309.07864) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.02848 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior](https://huggingface.co/papers/2310.16818) (2023)
* [DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation](https://huggingface.co/papers/2309.16653) (2023)
* [HiFi-123: Towards High-fidelity One Image to 3D Content Generation](https://huggingface.co/papers/2310.06744) (2023)
* [iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis](https://huggingface.co/papers/2310.16167) (2023)
* [Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes](https://huggingface.co/papers/2310.08585) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.02805 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF](https://huggingface.co/papers/2310.05344) (2023)
* [Vanishing Gradients in Reinforcement Finetuning of Language Models](https://huggingface.co/papers/2310.20703) (2023)
* [SuperHF: Supervised Iterative Learning from Human Feedback](https://huggingface.co/papers/2310.16763) (2023)
* [Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging](https://huggingface.co/papers/2310.11564) (2023)
* [Democratizing Reasoning Ability: Tailored Learning from Large Language Model](https://huggingface.co/papers/2310.13332) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.03226 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling](https://huggingface.co/papers/2310.06347) (2023)
* [DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model](https://huggingface.co/papers/2310.07771) (2023)
* [Light Field Diffusion for Single-View Novel View Synthesis](https://huggingface.co/papers/2309.11525) (2023)
* [HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation](https://huggingface.co/papers/2310.01406) (2023)
* [Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models](https://huggingface.co/papers/2310.18840) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.05772 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [HeaP: Hierarchical Policies for Web Actions using LLMs](https://huggingface.co/papers/2310.03720) (2023)
* [Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models](https://huggingface.co/papers/2310.04406) (2023)
* [LLaMA Rider: Spurring Large Language Models to Explore the Open World](https://huggingface.co/papers/2310.08922) (2023)
* [Interactive Task Planning with Language Models](https://huggingface.co/papers/2310.10645) (2023)
* [Tree-Planner: Efficient Close-loop Task Planning with Large Language Models](https://huggingface.co/papers/2310.08582) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.05997 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds](https://huggingface.co/papers/2310.13255) (2023)
* [LLaMA Rider: Spurring Large Language Models to Explore the Open World](https://huggingface.co/papers/2310.08922) (2023)
* [GROOT: Learning to Follow Instructions by Watching Gameplay Videos](https://huggingface.co/papers/2310.08235) (2023)
* [Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models](https://huggingface.co/papers/2310.15127) (2023)
* [MindAgent: Emergent Gaming Interaction](https://huggingface.co/papers/2309.09971) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.05908 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions](https://huggingface.co/papers/2310.18780) (2023)
* [Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture](https://huggingface.co/papers/2310.12109) (2023)
* [Accelerating Machine Learning Primitives on Commodity Hardware](https://huggingface.co/papers/2310.05218) (2023)
* [Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity](https://huggingface.co/papers/2309.10285) (2023)
* [DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models](https://huggingface.co/papers/2309.14509) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.05661 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Instance Needs More Care: Rewriting Prompts for Instances Yields Better Zero-Shot Performance](https://huggingface.co/papers/2310.02107) (2023)
* [Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing](https://huggingface.co/papers/2310.13855) (2023)
* [PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization](https://huggingface.co/papers/2310.16427) (2023)
* [Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review](https://huggingface.co/papers/2310.14735) (2023)
* [MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning](https://huggingface.co/papers/2310.16049) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.06243 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Decomposed Prompt Tuning via Low-Rank Reparameterization](https://huggingface.co/papers/2310.10094) (2023)
* [NOLA: Networks as Linear Combination of Low Rank Random Basis](https://huggingface.co/papers/2310.02556) (2023)
* [Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing](https://huggingface.co/papers/2310.06234) (2023)
* [PELA: Learning Parameter-Efficient Models with Low-Rank Approximation](https://huggingface.co/papers/2310.10700) (2023)
* [LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models](https://huggingface.co/papers/2310.08659) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.06158 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language Models](https://huggingface.co/papers/2310.00836) (2023)
* [Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning](https://huggingface.co/papers/2310.18338) (2023)
* [Learning To Teach Large Language Models Logical Reasoning](https://huggingface.co/papers/2310.09158) (2023)
* [LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers](https://huggingface.co/papers/2310.15164) (2023)
* [Concise and Organized Perception Facilitates Large Language Models for Deductive Reasoning](https://huggingface.co/papers/2310.03309) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.05884 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction](https://huggingface.co/papers/2311.04635) (2023)
* [Personalized Transformer-based Ranking for e-Commerce at Yandex](https://huggingface.co/papers/2310.03481) (2023)
* [Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation](https://huggingface.co/papers/2311.01056) (2023)
* [ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction](https://huggingface.co/papers/2310.09234) (2023)
* [Embedding in Recommender Systems: A Survey](https://huggingface.co/papers/2310.18608) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.05770 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Joint Depth Prediction and Semantic Segmentation with Multi-View SAM](https://huggingface.co/papers/2311.00134) (2023)
* [Dual-Augmented Transformer Network for Weakly Supervised Semantic Segmentation](https://huggingface.co/papers/2310.00307) (2023)
* [Superpixel Transformers for Efficient Semantic Segmentation](https://huggingface.co/papers/2309.16889) (2023)
* [IEBins: Iterative Elastic Bins for Monocular Depth Estimation](https://huggingface.co/papers/2309.14137) (2023)
* [RoadFormer: Duplex Transformer for RGB-Normal Semantic Road Scene Parsing](https://huggingface.co/papers/2309.10356) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.05698 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation](https://huggingface.co/papers/2309.16429) (2023)
* [Fine-grained Audio-Visual Joint Representations for Multimodal Large Language Models](https://huggingface.co/papers/2310.05863) (2023)
* [HowToCaption: Prompting LLMs to Transform Video Annotations at Scale](https://huggingface.co/papers/2310.04900) (2023)
* [Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling](https://huggingface.co/papers/2310.04991) (2023)
* [Lightweight In-Context Tuning for Multimodal Unified Models](https://huggingface.co/papers/2310.05109) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.05657 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [AgentTuning: Enabling Generalized Agent Abilities for LLMs](https://huggingface.co/papers/2310.12823) (2023)
* [Lemur: Harmonizing Natural Language and Code for Language Agents](https://huggingface.co/papers/2310.06830) (2023)
* [FireAct: Toward Language Agent Fine-tuning](https://huggingface.co/papers/2310.05915) (2023)
* [HeaP: Hierarchical Policies for Web Actions using LLMs](https://huggingface.co/papers/2310.03720) (2023)
* [Agent Instructs Large Language Models to be General Zero-Shot Reasoners](https://huggingface.co/papers/2310.03710) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.06214 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation](https://huggingface.co/papers/2309.16653) (2023)
* [TOSS: High-quality Text-guided Novel View Synthesis from a Single Image](https://huggingface.co/papers/2310.10644) (2023)
* [SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3D](https://huggingface.co/papers/2310.02596) (2023)
* [HiFi-123: Towards High-fidelity One Image to 3D Content Generation](https://huggingface.co/papers/2310.06744) (2023)
* [Consistent-1-to-3: Consistent Image to 3D View Synthesis via Geometry-aware Diffusion Models](https://huggingface.co/papers/2310.03020) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.05640 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [On the Impact of Cross-Domain Data on German Language Models](https://huggingface.co/papers/2310.07321) (2023)
* [CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages](https://huggingface.co/papers/2309.09400) (2023)
* [Sequence-to-Sequence Spanish Pre-trained Language Models](https://huggingface.co/papers/2309.11259) (2023)
* [A Family of Pretrained Transformer Language Models for Russian](https://huggingface.co/papers/2309.10931) (2023)
* [Qwen Technical Report](https://huggingface.co/papers/2309.16609) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.05707 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [TiC: Exploring Vision Transformer in Convolution](https://huggingface.co/papers/2310.04134) (2023)
* [P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic Segmentation](https://huggingface.co/papers/2310.15025) (2023)
* [DualToken-ViT: Position-aware Efficient Vision Transformer with Dual Token Fusion](https://huggingface.co/papers/2309.12424) (2023)
* [TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition](https://huggingface.co/papers/2310.19380) (2023)
* [Hierarchical Side-Tuning for Vision Transformers](https://huggingface.co/papers/2310.05393) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.06242 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning](https://huggingface.co/papers/2310.09478) (2023)
* [Recognize Any Regions](https://huggingface.co/papers/2311.01373) (2023)
* [SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding](https://huggingface.co/papers/2310.15308) (2023)
* [OV-VG: A Benchmark for Open-Vocabulary Visual Grounding](https://huggingface.co/papers/2310.14374) (2023)
* [InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists](https://huggingface.co/papers/2310.00390) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.05437 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing](https://huggingface.co/papers/2311.00571) (2023)
* [Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning](https://huggingface.co/papers/2310.08166) (2023)
* [Improved Baselines with Visual Instruction Tuning](https://huggingface.co/papers/2310.03744) (2023)
* [Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants](https://huggingface.co/papers/2310.00653) (2023)
* [Lightweight In-Context Tuning for Multimodal Unified Models](https://huggingface.co/papers/2310.05109) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.05348 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning](https://huggingface.co/papers/2310.09478) (2023)
* [Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning](https://huggingface.co/papers/2310.08166) (2023)
* [Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs](https://huggingface.co/papers/2310.00582) (2023)
* [From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models](https://huggingface.co/papers/2310.08825) (2023)
* [Lightweight In-Context Tuning for Multimodal Unified Models](https://huggingface.co/papers/2310.05109) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.05332 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Vision Language Models in Autonomous Driving and Intelligent Transportation Systems](https://huggingface.co/papers/2310.14414) (2023)
* [A Survey of Large Language Models for Autonomous Driving](https://huggingface.co/papers/2311.01043) (2023)
* [DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model](https://huggingface.co/papers/2310.01412) (2023)
* [Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles](https://huggingface.co/papers/2310.08034) (2023)
* [Talk2BEV: Language-enhanced Bird's-eye View Maps for Autonomous Driving](https://huggingface.co/papers/2310.02251) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.04934 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs](https://huggingface.co/papers/2310.01801) (2023)
* [CacheGen: Fast Context Loading for Language Model Applications](https://huggingface.co/papers/2310.07240) (2023)
* [Efficient Streaming Language Models with Attention Sinks](https://huggingface.co/papers/2309.17453) (2023)
* [Context Compression for Auto-regressive Transformers with Sentinel Tokens](https://huggingface.co/papers/2310.08152) (2023)
* [(Dynamic) Prompting might be all you need to repair Compressed LLMs](https://huggingface.co/papers/2310.00867) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.05556 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference](https://huggingface.co/papers/2310.04378) (2023)
* [Conditional Diffusion Distillation](https://huggingface.co/papers/2310.01407) (2023)
* [Aligning Text-to-Image Diffusion Models with Reward Backpropagation](https://huggingface.co/papers/2310.03739) (2023)
* [Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation](https://huggingface.co/papers/2309.10740) (2023)
* [Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models](https://huggingface.co/papers/2310.18840) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.04931 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [H2O Open Ecosystem for State-of-the-art Large Language Models](https://huggingface.co/papers/2310.13012) (2023)
* [Herd: Using multiple, smaller LLMs to match the performances of proprietary, large LLMs via an intelligent composer](https://huggingface.co/papers/2310.19902) (2023)
* [GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond](https://huggingface.co/papers/2309.16583) (2023)
* [Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models](https://huggingface.co/papers/2310.02949) (2023)
* [Baichuan 2: Open Large-scale Language Models](https://huggingface.co/papers/2309.10305) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.12229 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis](https://huggingface.co/papers/2311.06752) (2023)
* [Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting](https://huggingface.co/papers/2310.08129) (2023)
* [Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack](https://huggingface.co/papers/2309.15807) (2023)
* [Improving Compositional Text-to-image Generation with Large Vision-Language Models](https://huggingface.co/papers/2310.06311) (2023)
* [Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression](https://huggingface.co/papers/2311.10794) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.12052 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Make Pixels Dance: High-Dynamic Video Generation](https://huggingface.co/papers/2311.10982) (2023)
* [DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation and Head Pose Generation via Diffusion Models](https://huggingface.co/papers/2310.00434) (2023)
* [AdaMesh: Personalized Facial Expressions and Head Poses for Speech-Driven 3D Facial Animation](https://huggingface.co/papers/2310.07236) (2023)
* [Realistic Speech-to-Face Generation with Speech-Conditioned Latent Diffusion Model with Face Prior](https://huggingface.co/papers/2310.03363) (2023)
* [LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation](https://huggingface.co/papers/2310.10769) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.12092 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [DeltaSpace: A Semantic-aligned Feature Space for Flexible Text-guided Image Editing](https://huggingface.co/papers/2310.08785) (2023)
* [Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else](https://huggingface.co/papers/2310.07419) (2023)
* [ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors](https://huggingface.co/papers/2311.05463) (2023)
* [LOVECon: Text-driven Training-Free Long Video Editing with ControlNet](https://huggingface.co/papers/2310.09711) (2023)
* [Localizing and Editing Knowledge in Text-to-Image Generative Models](https://huggingface.co/papers/2310.13730) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.12198 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting](https://huggingface.co/papers/2310.10642) (2023)
* [Neural Impostor: Editing Neural Radiance Fields with Explicit Shape Manipulation](https://huggingface.co/papers/2310.05391) (2023)
* [Neural Stress Fields for Reduced-order Elastoplasticity and Fracture](https://huggingface.co/papers/2310.17790) (2023)
* [SplatArmor: Articulated Gaussian splatting for animatable humans from monocular RGB videos](https://huggingface.co/papers/2311.10812) (2023)
* [SuGaR: Surface-Aligned Gaussian Splatting for Efficient 3D Mesh Reconstruction and High-Quality Mesh Rendering](https://huggingface.co/papers/2311.12775) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.12024 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [LEAP: Liberate Sparse-view 3D Modeling from Camera Poses](https://huggingface.co/papers/2310.01410) (2023)
* [LRM: Large Reconstruction Model for Single Image to 3D](https://huggingface.co/papers/2311.04400) (2023)
* [DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model](https://huggingface.co/papers/2311.09217) (2023)
* [MFOS: Model-Free & One-Shot Object Pose Estimation](https://huggingface.co/papers/2310.01897) (2023)
* [3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation](https://huggingface.co/papers/2310.03534) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.12775 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction on Mobile Devices](https://huggingface.co/papers/2311.09806) (2023)
* [Adaptive Shells for Efficient Neural Radiance Field Rendering](https://huggingface.co/papers/2311.10091) (2023)
* [GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting](https://huggingface.co/papers/2311.11700) (2023)
* [Geometry-Guided Ray Augmentation for Neural Surface Reconstruction with Sparse Views](https://huggingface.co/papers/2310.05483) (2023)
* [Ghost on the Shell: An Expressive Representation of General 3D Shapes](https://huggingface.co/papers/2310.15168) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.12631 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation](https://huggingface.co/papers/2310.10769) (2023)
* [Make Pixels Dance: High-Dynamic Video Generation](https://huggingface.co/papers/2311.10982) (2023)
* [Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator](https://huggingface.co/papers/2309.14494) (2023)
* [LLM-grounded Video Diffusion Models](https://huggingface.co/papers/2309.17444) (2023)
* [LOVECon: Text-driven Training-Free Long Video Editing with ControlNet](https://huggingface.co/papers/2310.09711) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.12454 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [DQR-TTS: Semi-supervised Text-to-speech Synthesis with Dynamic Quantized Representation](https://huggingface.co/papers/2311.07965) (2023)
* [High-Fidelity Speech Synthesis with Minimal Supervision: All Using Diffusion Models](https://huggingface.co/papers/2309.15512) (2023)
* [Vec-Tok Speech: speech vectorization and tokenization for neural speech generation](https://huggingface.co/papers/2310.07246) (2023)
* [PromptSpeaker: Speaker Generation Based on Text Descriptions](https://huggingface.co/papers/2310.05001) (2023)
* [Face-StyleSpeech: Improved Face-to-Voice latent mapping for Natural Zero-shot Speech Synthesis from a Face Image](https://huggingface.co/papers/2311.05844) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.12022 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Debate Helps Supervise Unreliable Experts](https://huggingface.co/papers/2311.08702) (2023)
* [NuclearQA: A Human-Made Benchmark for Language Models for the Nuclear Domain](https://huggingface.co/papers/2310.10920) (2023)
* [Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks](https://huggingface.co/papers/2311.09825) (2023)
* [GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions](https://huggingface.co/papers/2310.15405) (2023)
* [Critique Ability of Large Language Models](https://huggingface.co/papers/2310.04815) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.10751 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [AutoAgents: A Framework for Automatic Agent Generation](https://huggingface.co/papers/2309.17288) (2023)
* [Work State-Centric AI Agents: Design, Implementation, and Management of Cognitive Work Threads](https://huggingface.co/papers/2311.09576) (2023)
* [AgentTuning: Enabling Generalized Agent Abilities for LLMs](https://huggingface.co/papers/2310.12823) (2023)
* [Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization](https://huggingface.co/papers/2310.02170) (2023)
* [Interactive Task Planning with Language Models](https://huggingface.co/papers/2310.10645) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.10768 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Adaptive Gating in Mixture-of-Experts based Language Models](https://huggingface.co/papers/2310.07188) (2023)
* [Merging Experts into One: Improving Computational Efficiency of Mixture of Experts](https://huggingface.co/papers/2310.09832) (2023)
* [Retrieval-Generation Synergy Augmented Large Language Models](https://huggingface.co/papers/2310.05149) (2023)
* [SiRA: Sparse Mixture of Low Rank Adaptation](https://huggingface.co/papers/2311.09179) (2023)
* [ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models](https://huggingface.co/papers/2310.04564) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.11045 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Democratizing Reasoning Ability: Tailored Learning from Large Language Model](https://huggingface.co/papers/2310.13332) (2023)
* [Test-Time Self-Adaptive Small Language Models for Question Answering](https://huggingface.co/papers/2310.13307) (2023)
* [Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs](https://huggingface.co/papers/2310.13961) (2023)
* [MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning](https://huggingface.co/papers/2310.16049) (2023)
* [Teaching Language Models to Self-Improve through Interactive Demonstrations](https://huggingface.co/papers/2310.13522) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.11077 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling](https://huggingface.co/papers/2310.12100) (2023)
* [ScaLearn: Simple and Highly Parameter-Efficient Task Transfer by Learning to Scale](https://huggingface.co/papers/2310.01217) (2023)
* [Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning](https://huggingface.co/papers/2310.11670) (2023)
* [BLIP-Adapter: Parameter-Efficient Transfer Learning for Mobile Screenshot Captioning](https://huggingface.co/papers/2309.14774) (2023)
* [Audio-AdapterFusion: A Task-ID-free Approach for Efficient and Non-Destructive Multi-task Speech Recognition](https://huggingface.co/papers/2310.13015) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.11243 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts](https://huggingface.co/papers/2310.10640) (2023)
* [VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning](https://huggingface.co/papers/2309.15091) (2023)
* [TOSS: High-quality Text-guided Novel View Synthesis from a Single Image](https://huggingface.co/papers/2310.10644) (2023)
* [The Chosen One: Consistent Characters in Text-to-Image Diffusion Models](https://huggingface.co/papers/2311.10093) (2023)
* [Ctrl-Room: Controllable Text-to-3D Room Meshes Generation with Layout Constraints](https://huggingface.co/papers/2310.03602) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.11501 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Orthogonal Subspace Learning for Language Model Continual Learning](https://huggingface.co/papers/2310.14152) (2023)
* [LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models](https://huggingface.co/papers/2310.08659) (2023)
* [Decomposed Prompt Tuning via Low-Rank Reparameterization](https://huggingface.co/papers/2310.10094) (2023)
* [Tied-Lora: Enhacing parameter efficiency of LoRA with weight tying](https://huggingface.co/papers/2311.09578) (2023)
* [Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning](https://huggingface.co/papers/2310.11670) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.11829 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Attention Sorting Combats Recency Bias In Long Context Language Models](https://huggingface.co/papers/2310.01427) (2023)
* [Auto-ICL: In-Context Learning without Human Supervision](https://huggingface.co/papers/2311.09263) (2023)
* [Superiority of Softmax: Unveiling the Performance Edge Over Linear Attention](https://huggingface.co/papers/2310.11685) (2023)
* [Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism](https://huggingface.co/papers/2310.16270) (2023)
* [Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs](https://huggingface.co/papers/2311.02262) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.11284 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation](https://huggingface.co/papers/2310.09458) (2023)
* [Text-to-3D with Classifier Score Distillation](https://huggingface.co/papers/2310.19415) (2023)
* [Control3D: Towards Controllable Text-to-3D Generation](https://huggingface.co/papers/2311.05461) (2023)
* [HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation](https://huggingface.co/papers/2310.01406) (2023)
* [IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts](https://huggingface.co/papers/2310.05375) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.10794 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack](https://huggingface.co/papers/2309.15807) (2023)
* [ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors](https://huggingface.co/papers/2311.05463) (2023)
* [Kosmos-G: Generating Images in Context with Multimodal Large Language Models](https://huggingface.co/papers/2310.02992) (2023)
* [BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis](https://huggingface.co/papers/2311.06752) (2023)
* [NeuroPrompts: An Adaptive Framework to Optimize Prompts for Text-to-Image Generation](https://huggingface.co/papers/2311.12229) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.10775 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use](https://huggingface.co/papers/2310.03128) (2023)
* [Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding](https://huggingface.co/papers/2310.07075) (2023)
* [Interpreting User Requests in the Context of Natural Language Standing Instructions](https://huggingface.co/papers/2311.09796) (2023)
* [PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion](https://huggingface.co/papers/2311.01767) (2023)
* [Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning](https://huggingface.co/papers/2310.04474) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.11255 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models](https://huggingface.co/papers/2311.04589) (2023)
* [AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model](https://huggingface.co/papers/2309.16058) (2023)
* [How to Bridge the Gap between Modalities: A Comprehensive Survey on Multimodal Large Language Model](https://huggingface.co/papers/2311.07594) (2023)
* [Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding](https://huggingface.co/papers/2311.08046) (2023)
* [LLark: A Multimodal Foundation Model for Music](https://huggingface.co/papers/2310.07160) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.10982 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation](https://huggingface.co/papers/2310.10769) (2023)
* [SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction](https://huggingface.co/papers/2310.20700) (2023)
* [Consistent Video-to-Video Transfer Using Synthetic Dataset](https://huggingface.co/papers/2311.00213) (2023)
* [MoVideo: Motion-Aware Video Generation with Diffusion Models](https://huggingface.co/papers/2311.11325) (2023)
* [LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models](https://huggingface.co/papers/2309.15103) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.12015 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Kinematic-aware Prompting for Generalizable Articulated Object Manipulation with LLMs](https://huggingface.co/papers/2311.02847) (2023)
* [Interactive Task Planning with Language Models](https://huggingface.co/papers/2310.10645) (2023)
* [CoPAL: Corrective Planning of Robot Actions with Large Language Models](https://huggingface.co/papers/2310.07263) (2023)
* [Lifelong Robot Learning with Human Assisted Language Planners](https://huggingface.co/papers/2309.14321) (2023)
* [Language Models as Zero-Shot Trajectory Generators](https://huggingface.co/papers/2310.11604) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.11315 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use](https://huggingface.co/papers/2310.03128) (2023)
* [ControlLLM: Augment Language Models with Tools by Searching on Graphs](https://huggingface.co/papers/2310.17796) (2023)
* [AgentTuning: Enabling Generalized Agent Abilities for LLMs](https://huggingface.co/papers/2310.12823) (2023)
* [PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion](https://huggingface.co/papers/2311.01767) (2023)
* [Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task](https://huggingface.co/papers/2310.06504) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2311.10770 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models](https://huggingface.co/papers/2310.04564) (2023)
* [Towards End-to-end 4-Bit Inference on Generative Large Language Models](https://huggingface.co/papers/2310.09259) (2023)
* [Approximating Two-Layer Feedforward Networks for Efficient Transformers](https://huggingface.co/papers/2310.10837) (2023)
* [Sparse Fine-tuning for Inference Acceleration of Large Language Models](https://huggingface.co/papers/2310.06927) (2023)
* [Efficient LLM Inference on CPUs](https://huggingface.co/papers/2311.00502) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.01552 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Black-Box Prompt Optimization: Aligning Large Language Models without Model Training](https://huggingface.co/papers/2311.04155) (2023)
* [Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis](https://huggingface.co/papers/2310.10477) (2023)
* [Zephyr: Direct Distillation of LM Alignment](https://huggingface.co/papers/2310.16944) (2023)
* [CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment](https://huggingface.co/papers/2310.16271) (2023)
* [ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?](https://huggingface.co/papers/2311.16989) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.01407 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale Scene](https://huggingface.co/papers/2310.13263) (2023)
* [4D Gaussian Splatting for Real-Time Dynamic Scene Rendering](https://huggingface.co/papers/2310.08528) (2023)
* [LightSpeed: Light and Fast Neural Light Fields on Mobile Devices](https://huggingface.co/papers/2310.16832) (2023)
* [EvaSurf: Efficient View-Aware Implicit Textured Surface Reconstruction on Mobile Devices](https://huggingface.co/papers/2311.09806) (2023)
* [Real-Time Neural Rasterization for Large Scenes](https://huggingface.co/papers/2311.05607) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.01279 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Fine-Tuning LLaMA for Multi-Stage Text Retrieval](https://huggingface.co/papers/2310.08319) (2023)
* [LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression](https://huggingface.co/papers/2310.06839) (2023)
* [Adapting Pre-trained Generative Models for Extractive Question Answering](https://huggingface.co/papers/2311.02961) (2023)
* [Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning](https://huggingface.co/papers/2311.07099) (2023)
* [REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization](https://huggingface.co/papers/2310.14418) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.02149 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models](https://huggingface.co/papers/2310.13772) (2023)
* [Style Aligned Image Generation via Shared Attention](https://huggingface.co/papers/2312.02133) (2023)
* [A Unified Approach for Text- and Image-guided 4D Scene Generation](https://huggingface.co/papers/2311.16854) (2023)
* [LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts](https://huggingface.co/papers/2310.10640) (2023)
* [ElasticDiffusion: Training-free Arbitrary Size Image Generation](https://huggingface.co/papers/2311.18822) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.01409 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation](https://huggingface.co/papers/2311.17117) (2023)
* [SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors](https://huggingface.co/papers/2311.17261) (2023)
* [A Unified Approach for Text- and Image-guided 4D Scene Generation](https://huggingface.co/papers/2311.16854) (2023)
* [Text-Guided 3D Face Synthesis -- From Generation to Editing](https://huggingface.co/papers/2312.00375) (2023)
* [MotionEditor: Editing Video Motion via Content-Aware Diffusion](https://huggingface.co/papers/2311.18830) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.02155 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting](https://huggingface.co/papers/2312.00451) (2023)
* [4D Gaussian Splatting for Real-Time Dynamic Scene Rendering](https://huggingface.co/papers/2310.08528) (2023)
* [An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes](https://huggingface.co/papers/2311.12897) (2023)
* [4K4D: Real-Time 4D View Synthesis at 4K Resolution](https://huggingface.co/papers/2310.11448) (2023)
* [GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting](https://huggingface.co/papers/2311.11700) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00858 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models](https://huggingface.co/papers/2311.16503) (2023)
* [Diffusion Models Without Attention](https://huggingface.co/papers/2311.18257) (2023)
* [Effective Quantization for Diffusion Models on CPUs](https://huggingface.co/papers/2311.16133) (2023)
* [AdaDiff: Adaptive Step Selection for Fast Diffusion](https://huggingface.co/papers/2311.14768) (2023)
* [UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs](https://huggingface.co/papers/2311.09257) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00860 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Gaussian Grouping: Segment and Edit Anything in 3D Scenes](https://huggingface.co/papers/2312.00732) (2023)
* [OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning](https://huggingface.co/papers/2311.11666) (2023)
* [Point'n Move: Interactive Scene Object Manipulation on Gaussian Splatting Radiance Fields](https://huggingface.co/papers/2311.16737) (2023)
* [SANeRF-HQ: Segment Anything for NeRF in High Quality](https://huggingface.co/papers/2312.01531) (2023)
* [Obj-NeRF: Extract Object NeRFs from Multi-view Images](https://huggingface.co/papers/2311.15291) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.02139 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Diffusion Models Without Attention](https://huggingface.co/papers/2311.18257) (2023)
* [Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers](https://huggingface.co/papers/2310.05400) (2023)
* [Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling](https://huggingface.co/papers/2310.06389) (2023)
* [SRTransGAN: Image Super-Resolution using Transformer based Generative Adversarial Network](https://huggingface.co/papers/2312.01999) (2023)
* [Do text-free diffusion models learn discriminative visual representations?](https://huggingface.co/papers/2311.17921) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.02087 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [MotionEditor: Editing Video Motion via Content-Aware Diffusion](https://huggingface.co/papers/2311.18830) (2023)
* [FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing](https://huggingface.co/papers/2310.05922) (2023)
* [DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing](https://huggingface.co/papers/2310.10624) (2023)
* [Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer](https://huggingface.co/papers/2311.17009) (2023)
* [Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation](https://huggingface.co/papers/2311.17117) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.02116 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Language Model Beats Diffusion - Tokenizer is Key to Visual Generation](https://huggingface.co/papers/2310.05737) (2023)
* [Do text-free diffusion models learn discriminative visual representations?](https://huggingface.co/papers/2311.17921) (2023)
* [E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer](https://huggingface.co/papers/2311.17267) (2023)
* [General Point Model with Autoencoding and Autoregressive](https://huggingface.co/papers/2310.16861) (2023)
* [Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation](https://huggingface.co/papers/2311.16201) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00845 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [MotionDirector: Motion Customization of Text-to-Video Diffusion Models](https://huggingface.co/papers/2310.08465) (2023)
* [LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation](https://huggingface.co/papers/2310.10769) (2023)
* [Smooth Video Synthesis with Noise Constraints on Diffusion Models for One-shot Video Tuning](https://huggingface.co/papers/2311.17536) (2023)
* [Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer](https://huggingface.co/papers/2311.17009) (2023)
* [DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors](https://huggingface.co/papers/2310.12190) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.02133 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [StyleCrafter: Enhancing Stylized Text-to-Video Generation with Style Adapter](https://huggingface.co/papers/2312.00330) (2023)
* [InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser](https://huggingface.co/papers/2311.15040) (2023)
* [Text-Driven Image Editing via Learnable Regions](https://huggingface.co/papers/2311.16432) (2023)
* [ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors](https://huggingface.co/papers/2311.05463) (2023)
* [ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation](https://huggingface.co/papers/2312.02109) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.02142 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Segment and Caption Anything](https://huggingface.co/papers/2312.00869) (2023)
* [Align before Adapt: Leveraging Entity-to-Region Alignments for Generalizable Video Action Recognition](https://huggingface.co/papers/2311.15619) (2023)
* [Grounding Everything: Emerging Localization Properties in Vision-Language Transformers](https://huggingface.co/papers/2312.00878) (2023)
* [Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation](https://huggingface.co/papers/2311.16201) (2023)
* [Vamos: Versatile Action Models for Video Understanding](https://huggingface.co/papers/2311.13627) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.01663 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Text-Guided 3D Face Synthesis -- From Generation to Editing](https://huggingface.co/papers/2312.00375) (2023)
* [ProteusNeRF: Fast Lightweight NeRF Editing using 3D-Aware Image Context](https://huggingface.co/papers/2310.09965) (2023)
* [A Unified Approach for Text- and Image-guided 4D Scene Generation](https://huggingface.co/papers/2311.16854) (2023)
* [Cut-and-Paste: Subject-Driven Video Editing with Attention Control](https://huggingface.co/papers/2311.11697) (2023)
* [Control3D: Towards Controllable Text-to-3D Generation](https://huggingface.co/papers/2311.05461) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.01531 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Open-NeRF: Towards Open Vocabulary NeRF Decomposition](https://huggingface.co/papers/2310.16383) (2023)
* [Obj-NeRF: Extract Object NeRFs from Multi-view Images](https://huggingface.co/papers/2311.15291) (2023)
* [GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding](https://huggingface.co/papers/2311.11863) (2023)
* [GNeSF: Generalizable Neural Semantic Fields](https://huggingface.co/papers/2310.15712) (2023)
* [CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering](https://huggingface.co/papers/2311.15510) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00886 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning](https://huggingface.co/papers/2310.15145) (2023)
* [Privately Aligning Language Models with Reinforcement Learning](https://huggingface.co/papers/2310.16960) (2023)
* [COPF: Continual Learning Human Preference through Optimal Policy Fitting](https://huggingface.co/papers/2310.15694) (2023)
* [SALMON: Self-Alignment with Principle-Following Reward Models](https://huggingface.co/papers/2310.05910) (2023)
* [Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model](https://huggingface.co/papers/2311.13231) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.01532 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.02135 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Point-DynRF: Point-based Dynamic Radiance Fields from a Monocular Video](https://huggingface.co/papers/2310.09647) (2023)
* [4K4D: Real-Time 4D View Synthesis at 4K Resolution](https://huggingface.co/papers/2310.11448) (2023)
* [An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes](https://huggingface.co/papers/2311.12897) (2023)
* [Im4D: High-Fidelity and Real-Time Novel View Synthesis for Dynamic Scenes](https://huggingface.co/papers/2310.08585) (2023)
* [FSGS: Real-Time Few-shot View Synthesis using Gaussian Splatting](https://huggingface.co/papers/2312.00451) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00869 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [PerceptionGPT: Effectively Fusing Visual Perception into LLM](https://huggingface.co/papers/2311.06612) (2023)
* [Visual In-Context Prompting](https://huggingface.co/papers/2311.13601) (2023)
* [SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models](https://huggingface.co/papers/2311.07575) (2023)
* [EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension](https://huggingface.co/papers/2311.15879) (2023)
* [Efficient Pre-training for Localized Instruction Generation of Videos](https://huggingface.co/papers/2311.15964) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00849 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization](https://huggingface.co/papers/2311.16839) (2023)
* [DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback](https://huggingface.co/papers/2311.10081) (2023)
* [HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data](https://huggingface.co/papers/2311.13614) (2023)
* [Mitigating Hallucination in Visual Language Models with Visual Supervision](https://huggingface.co/papers/2311.16479) (2023)
* [Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites](https://huggingface.co/papers/2312.01701) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.02147 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything](https://huggingface.co/papers/2312.00863) (2023)
* [SpectralGPT: Spectral Foundation Model](https://huggingface.co/papers/2311.07113) (2023)
* [Improve Supervised Representation Learning with Masked Image Modeling](https://huggingface.co/papers/2312.00950) (2023)
* [SCLIP: Rethinking Self-Attention for Dense Vision-Language Inference](https://huggingface.co/papers/2312.01597) (2023)
* [Longer-range Contextualized Masked Autoencoder](https://huggingface.co/papers/2310.13593) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.02120 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [InstructCoder: Empowering Language Models for Code Editing](https://huggingface.co/papers/2310.20329) (2023)
* [LLM-Assisted Code Cleaning For Training Accurate Code Generators](https://huggingface.co/papers/2311.14904) (2023)
* [Nova+: Generative Language Models for Binaries](https://huggingface.co/papers/2311.13721) (2023)
* [Neural Rankers for Code Generation via Inter-Cluster Modeling](https://huggingface.co/papers/2311.03366) (2023)
* [The Program Testing Ability of Large Language Models for Code](https://huggingface.co/papers/2310.05727) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00210 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Image Super-resolution Via Latent Diffusion: A Sampling-space Mixture Of Experts And Frequency-augmented Decoder Approach](https://huggingface.co/papers/2310.12004) (2023)
* [CoSeR: Bridging Image and Language for Cognitive Super-Resolution](https://huggingface.co/papers/2311.16512) (2023)
* [Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution](https://huggingface.co/papers/2312.00853) (2023)
* [EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution](https://huggingface.co/papers/2310.19288) (2023)
* [DifAugGAN: A Practical Diffusion-style Data Augmentation for GAN-based Single Image Super-resolution](https://huggingface.co/papers/2311.18508) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00438 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Vision Language Models in Autonomous Driving and Intelligent Transportation Systems](https://huggingface.co/papers/2310.14414) (2023)
* [A Survey on Multimodal Large Language Models for Autonomous Driving](https://huggingface.co/papers/2311.12320) (2023)
* [LLM4Drive: A Survey of Large Language Models for Autonomous Driving](https://huggingface.co/papers/2311.01043) (2023)
* [A Language Agent for Autonomous Driving](https://huggingface.co/papers/2311.10813) (2023)
* [Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles](https://huggingface.co/papers/2310.08034) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00093 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting](https://huggingface.co/papers/2311.17907) (2023)
* [A Unified Approach for Text- and Image-guided 4D Scene Generation](https://huggingface.co/papers/2311.16854) (2023)
* [4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling](https://huggingface.co/papers/2311.17984) (2023)
* [Control3D: Towards Controllable Text-to-3D Generation](https://huggingface.co/papers/2311.05461) (2023)
* [LucidDreaming: Controllable Object-Centric 3D Generation](https://huggingface.co/papers/2312.00588) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00164 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Accuracy of a Vision-Language Model on Challenging Medical Cases](https://huggingface.co/papers/2311.05591) (2023)
* [Large Language Models Illuminate a Progressive Pathway to Artificial Healthcare Assistant: A Review](https://huggingface.co/papers/2311.01918) (2023)
* [Overview of Current Applications of Large Language Models in Various Medical Specialities](https://huggingface.co/papers/2311.12882) (2023)
* [A Survey of Large Language Models in Medicine: Progress, Application, and Challenge](https://huggingface.co/papers/2311.05112) (2023)
* [Emulating Human Cognitive Processes for Expert-Level Medical Question-Answering with Large Language Models](https://huggingface.co/papers/2310.11266) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00252 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Hyb-NeRF: A Multiresolution Hybrid Encoding for Neural Radiance Fields](https://huggingface.co/papers/2311.12490) (2023)
* [Anisotropic Neural Representation Learning for High-Quality Neural Rendering](https://huggingface.co/papers/2311.18311) (2023)
* [UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale Scene](https://huggingface.co/papers/2310.13263) (2023)
* [Adaptive Shells for Efficient Neural Radiance Field Rendering](https://huggingface.co/papers/2311.10091) (2023)
* [LightSpeed: Light and Fast Neural Light Fields on Mobile Devices](https://huggingface.co/papers/2310.16832) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00589 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning](https://huggingface.co/papers/2311.18799) (2023)
* [u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model](https://huggingface.co/papers/2311.05348) (2023)
* [VIM: Probing Multimodal Large Language Models for Visual Embedded Instruction Following](https://huggingface.co/papers/2311.17647) (2023)
* [InfMLLM: A Unified Framework for Visual-Language Tasks](https://huggingface.co/papers/2311.06791) (2023)
* [Vamos: Versatile Action Models for Video Understanding](https://huggingface.co/papers/2311.13627) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00451 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS](https://huggingface.co/papers/2311.17245) (2023)
* [SparseGS: Real-Time 360{\deg} Sparse View Synthesis using Gaussian Splatting](https://huggingface.co/papers/2312.00206) (2023)
* [An Efficient 3D Gaussian Representation for Monocular/Multi-view Dynamic Scenes](https://huggingface.co/papers/2311.12897) (2023)
* [GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis](https://huggingface.co/papers/2312.02155) (2023)
* [Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Images](https://huggingface.co/papers/2311.13398) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00063 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [A Unified Framework for Multimodal, Multi-Part Human Motion Synthesis](https://huggingface.co/papers/2311.16471) (2023)
* [HumanTOMATO: Text-aligned Whole-body Motion Generation](https://huggingface.co/papers/2310.12978) (2023)
* [TLControl: Trajectory and Language Control for Human Motion Synthesis](https://huggingface.co/papers/2311.17135) (2023)
* [OmniMotionGPT: Animal Motion Generation with Limited Data](https://huggingface.co/papers/2311.18303) (2023)
* [SemanticBoost: Elevating Motion Generation with Augmented Textual Cues](https://huggingface.co/papers/2310.20323) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00763 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [RELIC: Investigating Large Language Model Responses using Self-Consistency](https://huggingface.co/papers/2311.16842) (2023)
* [Extracting user needs with Chat-GPT for dialogue recommendation](https://huggingface.co/papers/2310.19303) (2023)
* [ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles](https://huggingface.co/papers/2310.15428) (2023)
* [Prompt Your Mind: Refine Personalized Text Prompts within Your Mind](https://huggingface.co/papers/2311.05114) (2023)
* [Eliciting Human Preferences with Language Models](https://huggingface.co/papers/2310.11589) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00738 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Assessing Translation capabilities of Large Language Models involving English and Indian Languages](https://huggingface.co/papers/2311.09216) (2023)
* [How good are Large Language Models on African Languages?](https://huggingface.co/papers/2311.07978) (2023)
* [Conversations in Galician: a Large Language Model for an Underrepresented Language](https://huggingface.co/papers/2311.03812) (2023)
* [Tamil-Llama: A New Tamil Language Model Based on Llama 2](https://huggingface.co/papers/2311.05845) (2023)
* [PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning](https://huggingface.co/papers/2311.08711) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00575 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Divergences between Language Models and Human Brains](https://huggingface.co/papers/2311.09308) (2023)
* [Roles of Scaling and Instruction Tuning in Language Perception: Model vs. Human Attention](https://huggingface.co/papers/2310.19084) (2023)
* [TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models](https://huggingface.co/papers/2310.06762) (2023)
* [Visual Grounding Helps Learn Word Meanings in Low-Data Regimes](https://huggingface.co/papers/2310.13257) (2023)
* [The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning](https://huggingface.co/papers/2312.01552) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00752 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture](https://huggingface.co/papers/2310.12109) (2023)
* [Hierarchically Gated Recurrent Neural Network for Sequence Modeling](https://huggingface.co/papers/2311.04823) (2023)
* [Convolutional State Space Models for Long-Range Spatiotemporal Modeling](https://huggingface.co/papers/2310.19694) (2023)
* [Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions](https://huggingface.co/papers/2310.18780) (2023)
* [Accelerating Toeplitz Neural Network with Constant-time Inference Complexity](https://huggingface.co/papers/2311.08756) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00375 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts](https://huggingface.co/papers/2310.05375) (2023)
* [PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation](https://huggingface.co/papers/2310.09458) (2023)
* [ControlDreamer: Stylized 3D Generation with Multi-View ControlNet](https://huggingface.co/papers/2312.01129) (2023)
* [SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors](https://huggingface.co/papers/2311.17261) (2023)
* [Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training](https://huggingface.co/papers/2312.01663) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00085 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [IPDreamer: Appearance-Controllable 3D Object Generation with Image Prompts](https://huggingface.co/papers/2310.05375) (2023)
* [MetaDreamer: Efficient Text-to-3D Creation With Disentangling Geometry and Texture](https://huggingface.co/papers/2311.10123) (2023)
* [RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D](https://huggingface.co/papers/2311.16918) (2023)
* [Text-Guided 3D Face Synthesis -- From Generation to Editing](https://huggingface.co/papers/2312.00375) (2023)
* [ControlDreamer: Stylized 3D Generation with Multi-View ControlNet](https://huggingface.co/papers/2312.01129) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00330 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation](https://huggingface.co/papers/2312.02109) (2023)
* [ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors](https://huggingface.co/papers/2311.05463) (2023)
* [Style Aligned Image Generation via Shared Attention](https://huggingface.co/papers/2312.02133) (2023)
* [InstaStyle: Inversion Noise of a Stylized Image is Secretly a Style Adviser](https://huggingface.co/papers/2311.15040) (2023)
* [DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors](https://huggingface.co/papers/2310.12190) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00777 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning](https://huggingface.co/papers/2311.00990) (2023)
* [MoVideo: Motion-Aware Video Generation with Diffusion Models](https://huggingface.co/papers/2311.11325) (2023)
* [VideoAssembler: Identity-Consistent Video Generation with Reference Entities using Diffusion Model](https://huggingface.co/papers/2311.17338) (2023)
* [LAMP: Learn A Motion Pattern for Few-Shot-Based Video Generation](https://huggingface.co/papers/2310.10769) (2023)
* [Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation](https://huggingface.co/papers/2311.17117) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |
https://huggingface.co/papers/2312.00079 | This is an automated message from the [Librarian Bot](https://huggingface.co/librarian-bots). I found the following papers similar to this paper.
The following papers were recommended by the Semantic Scholar API
* [High-fidelity Person-centric Subject-to-Image Synthesis](https://huggingface.co/papers/2311.10329) (2023)
* [VideoBooth: Diffusion-based Video Generation with Image Prompts](https://huggingface.co/papers/2312.00777) (2023)
* [Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training](https://huggingface.co/papers/2312.01663) (2023)
* [HiFi-123: Towards High-fidelity One Image to 3D Content Generation](https://huggingface.co/papers/2310.06744) (2023)
* [Multi-Concept T2I-Zero: Tweaking Only The Text Embeddings and Nothing Else](https://huggingface.co/papers/2310.07419) (2023)
Please give a thumbs up to this comment if you found it helpful!
If you want recommendations for any Paper on Hugging Face checkout [this](https://huggingface.co/spaces/librarian-bots/recommend_similar_papers) Space |