2026
Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions
ICML 2026poster
While large language models (LLMs) perform strongly on diverse tasks, their trustworthiness is limited by erratic behavior that is unfaithful to their internal knowledge. In particular, LLMs often fail on multiple-choice questions (MCQs) even if they encode correct answers in their hidden representa…