s1: Simple test-time scaling
Paper
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2501.19393
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Published
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120
LLM-O1
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Competitive Programming with Large Reasoning Models
Paper • 2502.06807 • Published • 70 -
LIMO: Less is More for Reasoning
Paper • 2502.03387 • Published • 61 -
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Paper • 2502.06703 • Published • 151 -
Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning
Paper • 2502.06781 • Published • 61 -
Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond
Paper • 2503.10460 • Published • 28 -
An Empirical Study on Eliciting and Improving R1-like Reasoning Models
Paper • 2503.04548 • Published • 8 -
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 122 -
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't
Paper • 2503.16219 • Published • 48 -
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 62 -
Inference-Time Scaling for Generalist Reward Modeling
Paper • 2504.02495 • Published • 54 -
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
Paper • 2504.05118 • Published • 25 -
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
Paper • 2504.11343 • Published • 14 -
Tina: Tiny Reasoning Models via LoRA
Paper • 2504.15777 • Published • 37 -
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 101 -
TTRL: Test-Time Reinforcement Learning
Paper • 2504.16084 • Published • 82 -
Learning to Reason under Off-Policy Guidance
Paper • 2504.14945 • Published • 72