Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper
• 2401.17464 • Published
• 21
LLM
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Transforming and Combining Rewards for Aligning Large Language Models
Paper • 2402.00742 • Published • 12 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 140 -
Specialized Language Models with Cheap Inference from Limited Domain Data
Paper • 2402.01093 • Published • 47 -
Learning Universal Predictors
Paper • 2401.14953 • Published • 22 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 117 -
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
Paper • 2402.04248 • Published • 32 -
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains
Paper • 2402.05140 • Published • 23 -
InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning
Paper • 2402.06332 • Published • 19 -
Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning
Paper • 2402.06102 • Published • 5 -
A Tale of Tails: Model Collapse as a Change of Scaling Laws
Paper • 2402.07043 • Published • 15 -
Premise Order Matters in Reasoning with Large Language Models
Paper • 2402.08939 • Published • 28 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers
Paper • 2305.07185 • Published • 10 -
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Paper • 2402.13753 • Published • 116 -
Coercing LLMs to do and reveal (almost) anything
Paper • 2402.14020 • Published • 13 -
Watermarking Makes Language Models Radioactive
Paper • 2402.14904 • Published • 23 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 627 -
AtP*: An efficient and scalable method for localizing LLM behaviour to components
Paper • 2403.00745 • Published • 14 -
InfiMM-HD: A Leap Forward in High-Resolution Multimodal Understanding
Paper • 2403.01487 • Published • 16 -
The Unreasonable Ineffectiveness of the Deeper Layers
Paper • 2403.17887 • Published • 82 -
Can large language models explore in-context?
Paper • 2403.15371 • Published • 33 -
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement
Paper • 2403.15042 • Published • 27 -
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
Paper • 2403.14624 • Published • 53 -
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 60 -
DiPaCo: Distributed Path Composition
Paper • 2403.10616 • Published • 14 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72