A General Theoretical Paradigm to Understand Learning from Human Preferences
Paper
• 2310.12036 • Published
• 19
Michal Valko
misovalko
AI & ML interests
large language models, reasoning, fine-tuning, test-time computation, reinforcement learning with human feedback, world models
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A General Theoretical Paradigm to Understand Learning from Human
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Optimal Design for Reward Modeling in RLHF Organizations
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