J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning
Paper
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2505.10320
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Published
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24
RL thinking
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Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures
Paper • 2505.09343 • Published • 72 -
Beyond 'Aha!': Toward Systematic Meta-Abilities Alignment in Large Reasoning Models
Paper • 2505.10554 • Published • 120 -
Scaling Reasoning can Improve Factuality in Large Language Models
Paper • 2505.11140 • Published • 7 -
Chain-of-Model Learning for Language Model
Paper • 2505.11820 • Published • 121 -
AdaptThink: Reasoning Models Can Learn When to Think
Paper • 2505.13417 • Published • 82 -
Reward Reasoning Model
Paper • 2505.14674 • Published • 37 -
Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
Paper • 2505.14810 • Published • 62 -
Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning
Paper • 2505.15966 • Published • 53 -
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
Paper • 2505.16400 • Published • 35 -
GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning
Paper • 2505.17022 • Published • 27 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88 -
Distilling LLM Agent into Small Models with Retrieval and Code Tools
Paper • 2505.17612 • Published • 81 -
Reasoning Model is Stubborn: Diagnosing Instruction Overriding in Reasoning Models
Paper • 2505.17225 • Published • 64 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 262 -
ProtoReasoning: Prototypes as the Foundation for Generalizable Reasoning in LLMs
Paper • 2506.15211 • Published • 37