9 citations · 16 across the 9 of their papers we have counts for
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cs.CL2024
Toward Optimal LLM Alignments Using Two-Player Games
Rui Zheng, Hongyi Guo, Zhihan Liu +10
The standard Reinforcement Learning from Human Feedback (RLHF) framework primarily focuses on optimizing the performance of large language models using pre-collected prompts. Howev…
cs.CL2023★ 9 cited
Large Language Model Unlearning
Yuanshun Yao, Xiaojun Xu, Yang Liu
We study how to perform unlearning, i.e. forgetting undesirable misbehaviors, on large language models (LLMs). We show at least three scenarios of aligning LLMs with human preferen…