Collections
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Collections including paper arxiv:2501.04227
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Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 83 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 229 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 77
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rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 229 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 83 -
LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning
Paper • 2410.02884 • Published • 53 -
Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
Paper • 2311.07445 • Published
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rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 229 -
URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics
Paper • 2501.04686 • Published • 48 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 83 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 77
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rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 229 -
Learning an evolved mixture model for task-free continual learning
Paper • 2207.05080 • Published • 1 -
EVOLvE: Evaluating and Optimizing LLMs For Exploration
Paper • 2410.06238 • Published • 1 -
Smaller Language Models Are Better Instruction Evolvers
Paper • 2412.11231 • Published • 27
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2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 95 -
ProgCo: Program Helps Self-Correction of Large Language Models
Paper • 2501.01264 • Published • 25 -
VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction
Paper • 2501.01957 • Published • 40 -
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning
Paper • 2501.03226 • Published • 35
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AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 5 -
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
Paper • 2401.00812 • Published • 4 -
DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
Paper • 2310.03714 • Published • 33 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 15