作者位次 #3/3ACL 2026Findings· Findings of ACL
D e F rame: Debiasing Large Language Models Against Framing Effects
Kahee Lim · Soyeon Kim · Steven Euijong Whang
摘要
As large language models (LLMs) are increasingly deployed in real-world applications, ensuring their fair responses across demographics has become crucial. Despite many efforts, an ongoing challenge is hidden bias: LLMs appear fair under standard evaluations, but can produce biased responses outs...