A fine-tuned Llama model generates multiple-choice distractors that keep model rankings nearly unchanged (Spearman 0.99) and matched confidence entropy, while human scores are only reported on a separate set of tasks.
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D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model
A fine-tuned Llama model generates multiple-choice distractors that keep model rankings nearly unchanged (Spearman 0.99) and matched confidence entropy, while human scores are only reported on a separate set of tasks.