Poster "reinforcement learning from human feedback" Papers

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ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models

Ziniu Li, Tian Xu, Yushun Zhang et al.

ICML 2024arXiv:2310.10505

Reward Model Learning vs. Direct Policy Optimization: A Comparative Analysis of Learning from Human Preferences

Andi Nika, Debmalya Mandal, Parameswaran Kamalaruban et al.

ICML 2024arXiv:2403.01857

RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Harrison Lee, Samrat Phatale, Hassan Mansoor et al.

ICML 2024arXiv:2309.00267

RLVF: Learning from Verbal Feedback without Overgeneralization

Moritz Stephan, Alexander Khazatsky, Eric Mitchell et al.

ICML 2024arXiv:2402.10893

WARM: On the Benefits of Weight Averaged Reward Models

Alexandre Rame, Nino Vieillard, Léonard Hussenot et al.

Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Collin Burns, Pavel Izmailov, Jan Kirchner et al.

ICML 2024arXiv:2312.09390

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