作者位次 #2/5ACL 2026Poster· Natural Language Processing
Fair- CCD : Mitigating Bias in Large Language Models for Tabular Classification Through Context-Contrastive Decoding
Donghan Liu · Han Sun · Zhaohui Wang · Qin Li · Min Zhang
摘要
While recent studies show the effectiveness of in-context learning (ICL) for tabular data prediction, they also reveal significant fairness issues in large language models (LLMs). Prior work to mitigate fairness issues often employs interventions relying on subjective demonstration selection. Its...