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Secrets of RLHF in Large Language Models Part I: PPO.

, , , , , , , , , , , , , , , , , , , , , , , , , , и . CoRR, (2023)

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Hua Jing

Hong Jin

Li Jin

Depu Jin

Xiufang Jin

 

Другие публикации лиц с тем же именем

TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models., , , , , , , , , и 2 other автор(ы). CoRR, (2023)Secrets of RLHF in Large Language Models Part II: Reward Modeling., , , , , , , , , и 17 other автор(ы). CoRR, (2024)Secrets of RLHF in Large Language Models Part I: PPO., , , , , , , , , и 17 other автор(ы). CoRR, (2023)Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement., , , , , , , и . CoRR, (2023)The Rise and Potential of Large Language Model Based Agents: A Survey., , , , , , , , , и 19 other автор(ы). CoRR, (2023)Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning., , , , , , , , , и 11 other автор(ы). CoRR, (2024)Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement., , , , , , , , и . EMNLP (Findings), стр. 11383-11406. Association for Computational Linguistics, (2023)MouSi: Poly-Visual-Expert Vision-Language Models., , , , , , , , , и 14 other автор(ы). CoRR, (2024)