rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper
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2501.04519
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Published
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284
Llms
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URSA: Understanding and Verifying Chain-of-thought Reasoning in Multimodal Mathematics
Paper • 2501.04686 • Published • 54 -
Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though
Paper • 2501.04682 • Published • 99 -
Agent Laboratory: Using LLM Agents as Research Assistants
Paper • 2501.04227 • Published • 93 -
Reasoning with Language Model is Planning with World Model
Paper • 2305.14992 • Published • 4 -
Reasoning Language Models: A Blueprint
Paper • 2501.11223 • Published • 34 -
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Paper • 2501.11425 • Published • 107 -
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 10 -
ProAgent: From Robotic Process Automation to Agentic Process Automation
Paper • 2311.10751 • Published • 10 -
Executable Code Actions Elicit Better LLM Agents
Paper • 2402.01030 • Published • 168 -
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models
Paper • 2502.01142 • Published • 24