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Hye-Young Jung

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#artificial intelligence Preprint Oct 2026

Penalty-Framed No-Valid-Option MCQA: Analyzing LLM Abstention under Invalid Choices

Penalty-framed no-valid-option MCQA reveals an aspect of model reliability not captured by standard answer-selection accuracy, and correct-conditioned analysis is introduced, evaluating abstention only on instances that the model originally answered correctly.

Jinhyeok Kim, Hye-Young Jung · 0 citations

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