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With the rapid development of large language models (LLMs) and ever-evolving practical requirements, finding an efficient and effective alignment method has never been more critical.
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Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, and Chelsea Finn · 2023
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OpenAI · 2023
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RLCD: Reinforcement learning from contrastive distillation for LM alignment
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Rrhf: Rank responses to align language models with human feedback
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