Papers with WiCkeD

1 papers
WiCkeD: A Simple Method to Make Multiple Choice Benchmarks More Challenging (2025.acl-short)

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Challenge: Multiple choice question (MCQ) benchmarks are widely used to evaluate Large Language Models (LLMs).
Approach: They propose a method to increase the complexity of existing multiple-choice benchmarks by randomly replacing a choice with “None of the above”.
Outcome: The proposed method can be applied to 6 popular benchmarks and evaluate 18 open-weight LLMs.

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