Papers by Patrick CHen

1 papers
Fast and Accurate Factual Inconsistency Detection Over Long Documents (2023.emnlp-main)

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Challenge: Generative AI models exhibit remarkable potential, however, hallucinations across various tasks present a significant challenge, particularly for longer inputs.
Approach: They propose a task-agnostic model that uses large text chunks to condition over long texts and employ a novel algorithm to explain its decisions through relevant source sentence retrieval.
Outcome: The proposed model outperforms existing methods on benchmarks and a new long-form dialogue dataset and surpasses competitive systems in efficiency and model explanation evaluations.

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