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cs.CL2026
Do Large Language Models Plan Answer Positions? Position Bias in Multiple-Choice Question Generation
Xuemei Tang, Xufeng Duan, Zhenguang G. Cai
Large language models (LLMs) are increasingly used to generate multiple-choice questions (MCQs), where correct answers should ideally be uniformly distributed across options. Howev…
cs.CL2026
Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models
Hengyuan Zhang, Zhihao Zhang, Mingyang Wang +26
Mechanistic Interpretability (MI) has emerged as a vital approach to demystify the opaque decision-making of Large Language Models (LLMs). However, existing reviews primarily treat…