Reinforcement Learning From Human Feedback

Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization
Reinforcement learning from human feedback (RLHF) is an effective method for aligning large language models (LLMs) with human values. …
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Aligner: Efficient Alignment by Learning to Correct
With the rapid development of large language models (LLMs) and ever-evolving practical requirements, finding an efficient and effective …
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