Papers

• 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
• RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards (2025)
  Zhilin Wang et al.
  1.28
• The Era of Real-World Human Interaction: RL from User Conversations (2025)
  Chuanyang Jin et al.
  1.28
• Efficient RLHF: Reducing the Memory Usage of PPO (2023)
  Michael Santacroce 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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• 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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