Papers

• Selective Self-to-Supervised Fine-Tuning for Generalization in Large Language Models (2025)
  Sonam Gupta et al.
  1.28
• Thinking Preference Optimization (2025)
  Wang Yang et al.
  1.28
• Visual-RFT: Visual Reinforcement Fine-Tuning (2025)
  Ziyu Liu et al.
  1.28
• Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning (2025)
  Shuyao Xu 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
• Becoming self-instruct: introducing early stopping criteria for minimal instruct tuning (2023)
  Waseem AlShikh et al.
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• Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models (2024)
  Guanting Dong et al.
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• Iterative Graph Alignment (2024)
  Fangyuan Yu et al.
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