Multilingual Instruction Tuning With Just a Pinch of Multilinguality
Paper
•
2401.01854
•
Published
•
10
NLP paper
-
-
LLaMA Beyond English: An Empirical Study on Language Capability Transfer
Paper • 2401.01055 • Published • 54 -
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
Paper • 2401.01325 • Published • 26 -
Improving Text Embeddings with Large Language Models
Paper • 2401.00368 • Published • 79 -
Generative AI for Math: Part I -- MathPile: A Billion-Token-Scale Pretraining Corpus for Math
Paper • 2312.17120 • Published • 25 -
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 56 -
Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4
Paper • 2312.16171 • Published • 34 -
WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation
Paper • 2312.14187 • Published • 49 -
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Paper • 2401.01335 • Published • 64 -
LLaMA Pro: Progressive LLaMA with Block Expansion
Paper • 2401.02415 • Published • 53 -
Mixtral of Experts
Paper • 2401.04088 • Published • 157 -
SeaLLMs -- Large Language Models for Southeast Asia
Paper • 2312.00738 • Published • 23 -
System 2 Attention (is something you might need too)
Paper • 2311.11829 • Published • 39 -
Contrastive Chain-of-Thought Prompting
Paper • 2311.09277 • Published • 34 -
Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
Paper • 2401.02994 • Published • 47 -
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon
Paper • 2401.03462 • Published • 26 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 143 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 20 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 602 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 96 -
Orca-Math: Unlocking the potential of SLMs in Grade School Math
Paper • 2402.14830 • Published • 24 -
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 182 -
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
Paper • 2403.07816 • Published • 39 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 67 -
ORPO: Monolithic Preference Optimization without Reference Model
Paper • 2403.07691 • Published • 62 -
Evolutionary Optimization of Model Merging Recipes
Paper • 2403.13187 • Published • 50 -
RakutenAI-7B: Extending Large Language Models for Japanese
Paper • 2403.15484 • Published • 12 -
sDPO: Don't Use Your Data All at Once
Paper • 2403.19270 • Published • 39 -
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 104 -
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Paper • 2403.14403 • Published • 6 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 35 -
LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders
Paper • 2404.05961 • Published • 64 -
JetMoE: Reaching Llama2 Performance with 0.1M Dollars
Paper • 2404.07413 • Published • 36 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 251 -
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
Paper • 2404.14619 • Published • 124 -
Mixture-of-Agents Enhances Large Language Model Capabilities
Paper • 2406.04692 • Published • 55