Out-of-Domain Finetuning to Bootstrap Hallucination Detection
Read OriginalThis technical article details a machine learning experiment on bootstrapping hallucination detection models. It explains how finetuning a BART model on Wikipedia data (out-of-domain) before task-specific finetuning on a news summary benchmark significantly improves performance in identifying factual inconsistencies, using a Natural Language Inference (NLI) approach.
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