9 citations · 28 across the 13 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023
Fair Classifiers that Abstain without Harm
Tongxin Yin, Jean-François Ton, Ruocheng Guo +3
In critical applications, it is vital for classifiers to defer decision-making to humans. We propose a post-hoc method that makes existing classifiers selectively abstain from pred…
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…