Papers

• Your Group-Relative Advantage Is Biased (2026)
  Fengkai Yang et al.
  1.94
• Joint Training of Multi-Token Prediction in Reinforcement Learning via Optimal Coefficient Calibration (2026)
  Zili Wang et al.
  1.94
• RLHS: Mitigating Misalignment in RLHF with Hindsight Simulation (2025)
  Kaiqu Liang et al.
  1.28
• PILAF: Optimal Human Preference Sampling for Reward Modeling (2025)
  Yunzhen Feng et al.
  1.28
• Iterative Value Function Optimization for Guided Decoding (2025)
  Zhenhua Liu et al.
  1.28
• Accelerating Nash Learning from Human Feedback via Mirror Prox (2025)
  Daniil Tiapkin et al.
  1.28
• The Era of Real-World Human Interaction: RL from User Conversations (2025)
  Chuanyang Jin et al.
  1.28
• Visual Jigsaw Post-Training Improves MLLMs (2025)
  Penghao Wu et al.
  1.28
• ExGRPO: Learning to Reason from Experience (2025)
  Runzhe Zhan et al.
  1.28
• PokeeResearch: Effective Deep Research via Reinforcement Learning from AI Feedback and Robust Reasoning Scaffold (2025)
  Yi Wan et al.
  1.28
• Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback (2023)
  Stephen Casper et al.
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• ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers (2024)
  Chen Zheng et al.
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• MusicRL: Aligning Music Generation to Human Preferences (2024)
  Geoffrey Cideron et al.
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• CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay (2024)
  Natasha Butt et al.
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• NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment (2024)
  Gerald Shen 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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• Model Surgery: Modulating LLM's Behavior Via Simple Parameter Editing (2024)
  Huanqian Wang et al.
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• SePPO: Semi-Policy Preference Optimization for Diffusion Alignment (2024)
  Daoan Zhang et al.
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