BitNet: Scaling 1-bit Transformers for Large Language Models
Paper
•
2310.11453
•
Published
•
96
To read
-
-
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 74 -
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 41 -
Matryoshka Diffusion Models
Paper • 2310.15111 • Published • 40 -
Contrastive Prefence Learning: Learning from Human Feedback without RL
Paper • 2310.13639 • Published • 24 -
Safe RLHF: Safe Reinforcement Learning from Human Feedback
Paper • 2310.12773 • Published • 28 -
An Image is Worth Multiple Words: Learning Object Level Concepts using Multi-Concept Prompt Learning
Paper • 2310.12274 • Published • 11 -
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
Paper • 2310.11441 • Published • 26 -
In-Context Pretraining: Language Modeling Beyond Document Boundaries
Paper • 2310.10638 • Published • 28 -
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion
Paper • 2310.03502 • Published • 77 -
How FaR Are Large Language Models From Agents with Theory-of-Mind?
Paper • 2310.03051 • Published • 34 -
Large Language Models Cannot Self-Correct Reasoning Yet
Paper • 2310.01798 • Published • 33 -
Enable Language Models to Implicitly Learn Self-Improvement From Data
Paper • 2310.00898 • Published • 23 -
PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
Paper • 2310.00426 • Published • 61 -
Conditional Diffusion Distillation
Paper • 2310.01407 • Published • 20 -
Vision Transformers Need Registers
Paper • 2309.16588 • Published • 77 -
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
Paper • 2310.04378 • Published • 19 -
CodeFusion: A Pre-trained Diffusion Model for Code Generation
Paper • 2310.17680 • Published • 69 -
Personas as a Way to Model Truthfulness in Language Models
Paper • 2310.18168 • Published • 5 -
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
Paper • 2310.16656 • Published • 40 -
Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling
Paper • 2311.00430 • Published • 56 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 40 -
Controllable Music Production with Diffusion Models and Guidance Gradients
Paper • 2311.00613 • Published • 24 -
De-Diffusion Makes Text a Strong Cross-Modal Interface
Paper • 2311.00618 • Published • 21 -
The Generative AI Paradox: "What It Can Create, It May Not Understand"
Paper • 2311.00059 • Published • 18 -
Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans?
Paper • 2311.00047 • Published • 8 -
CapsFusion: Rethinking Image-Text Data at Scale
Paper • 2310.20550 • Published • 25 -
Beyond U: Making Diffusion Models Faster & Lighter
Paper • 2310.20092 • Published • 11 -
LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery
Paper • 2310.18356 • Published • 22 -
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 16 -
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Paper • 2305.07759 • Published • 33 -
Textbooks Are All You Need
Paper • 2306.11644 • Published • 142 -
QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models
Paper • 2310.16795 • Published • 26 -
FLAP: Fast Language-Audio Pre-training
Paper • 2311.01615 • Published • 16 -
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
Paper • 2311.05556 • Published • 80 -
Levels of AGI: Operationalizing Progress on the Path to AGI
Paper • 2311.02462 • Published • 33 -
The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4
Paper • 2311.07361 • Published • 12 -
Fast Chain-of-Thought: A Glance of Future from Parallel Decoding Leads to Answers Faster
Paper • 2311.08263 • Published • 15 -
Technical Report: Large Language Models can Strategically Deceive their Users when Put Under Pressure
Paper • 2311.07590 • Published • 16 -
Music ControlNet: Multiple Time-varying Controls for Music Generation
Paper • 2311.07069 • Published • 43 -
Prompt Engineering a Prompt Engineer
Paper • 2311.05661 • Published • 20 -
PolyMaX: General Dense Prediction with Mask Transformer
Paper • 2311.05770 • Published • 6 -
UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs
Paper • 2311.09257 • Published • 45 -
The Chosen One: Consistent Characters in Text-to-Image Diffusion Models
Paper • 2311.10093 • Published • 57 -
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
Paper • 2311.04257 • Published • 20 -
Rethinking Attention: Exploring Shallow Feed-Forward Neural Networks as an Alternative to Attention Layers in Transformers
Paper • 2311.10642 • Published • 23 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 70 -
Exponentially Faster Language Modelling
Paper • 2311.10770 • Published • 118 -
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning
Paper • 2311.11501 • Published • 33 -
System 2 Attention (is something you might need too)
Paper • 2311.11829 • Published • 39 -
GAIA: a benchmark for General AI Assistants
Paper • 2311.12983 • Published • 183 -
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
Paper • 2311.13231 • Published • 26 -
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
Paper • 2312.03818 • Published • 32 -
Magicoder: Source Code Is All You Need
Paper • 2312.02120 • Published • 79 -
FaceStudio: Put Your Face Everywhere in Seconds
Paper • 2312.02663 • Published • 30 -
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis
Paper • 2312.03491 • Published • 34 -
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Paper • 2312.04474 • Published • 29 -
DeepCache: Accelerating Diffusion Models for Free
Paper • 2312.00858 • Published • 21