Balancing Rigor and Utility: Mitigating Cognitive Biases in Large Language Models for Multiple-Choice Questions

Hanyang Zhong, Liman Wang, Wenting Cao, Zeyuan Sun. Balancing Rigor and Utility: Mitigating Cognitive Biases in Large Language Models for Multiple-Choice Questions. In David Barner, Neil Bramley, Azzurra Ruggeri, Caren M. Walker, editors, Proceedings of the 47th Annual Meeting of the Cognitive Science Society, CogSci 2025, San Francisco, CA, USA, July 30 - August 2, 2025. cognitivesciencesociety.org, 2025. [doi]

Abstract

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