Yejie Wang

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upvoted 2 papers 28 days ago

rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Paper • 2501.04519 • Published Jan 8 • 254

Towards System 2 Reasoning in LLMs: Learning How to Think With Meta Chain-of-Though

Paper • 2501.04682 • Published Jan 8 • 89

upvoted 4 papers about 1 month ago

Search-o1: Agentic Search-Enhanced Large Reasoning Models

Paper • 2501.05366 • Published Jan 9 • 92

Smaller Language Models Are Better Instruction Evolvers

Paper • 2412.11231 • Published Dec 15, 2024 • 27

Progressive Multimodal Reasoning via Active Retrieval

Paper • 2412.14835 • Published Dec 19, 2024 • 73

ProgCo: Program Helps Self-Correction of Large Language Models

Paper • 2501.01264 • Published Jan 2 • 25

upvoted a paper about 2 months ago

B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners

Paper • 2412.17256 • Published Dec 23, 2024 • 46

upvoted 2 papers 5 months ago

Towards a Unified View of Preference Learning for Large Language Models: A Survey

Paper • 2409.02795 • Published Sep 4, 2024 • 72

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data

Paper • 2409.03810 • Published Sep 5, 2024 • 33

upvoted a paper 7 months ago

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?

Paper • 2407.01284 • Published Jul 1, 2024 • 76