Faithfulness Errors
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ID: faithfulnesserrors
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Contrastive Error Attribution for Finetuned Language Models
AbstractRecent work has identified noisy and misannotated data as a core cause of hallucinations and unfaithful outputs in Natural Language Generation (NLG) tasks. Consequently, identifying and removing these examples is …...