Papers

• s3: You Don't Need That Much Data to Train a Search Agent via RL (2025)
  Pengcheng Jiang et al.
  1.28
• Bridging Supervised Learning and Reinforcement Learning in Math Reasoning (2025)
  Huayu Chen et al.
  1.28
• Hunyuan-MT Technical Report (2025)
  Mao Zheng et al.
  1.28
• RewardMap: Tackling Sparse Rewards in Fine-grained Visual Reasoning via Multi-Stage Reinforcement Learning (2025)
  Sicheng Feng et al.
  1.28
• Training-Free Group Relative Policy Optimization (2025)
  Yuzheng Cai et al.
  1.28
• RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments (2025)
  Zhiyuan Zeng et al.
  1.28
• StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback (2024)
  Shihan Dou et al.
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