most citedSecrets of RLHF in Large Language Models Part I: PPO

19 citations · 41 across the 9 of their papers we have counts for

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cs.AI2024★ 3 cited

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments

Zhiheng Xi, Yiwen Ding, Wenxiang Chen +17

Building generalist agents that can handle diverse tasks and evolve themselves across different environments is a long-term goal in the AI community. Large language models (LLMs) a…

cs.AI2024★ 8 cited

Secrets of RLHF in Large Language Models Part II: Reward Modeling

Binghai Wang, Rui Zheng, Lu Chen +24

Reinforcement Learning from Human Feedback (RLHF) has become a crucial technology for aligning language models with human values and intentions, enabling models to produce more hel…