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JET: Justification Evaluation in Transformer

Ding, Shenghao
arXiv (All) · Papers
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i-2-7
JET uses pretrained language and vision-language models to select among a finite set of answers without additional training. It evaluates candidate likelihoods directly and shares computation across candidates. Experiments on desktop CPUs and consumer GPUs assess decision accuracy and execution cost
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