With a Little Push, NLI Models can Robustly and Efficiently Predict Faithfulness

Conditional language models still generate unfaithful output that is not supported by their input. These unfaithful generations jeopardize trust in real-world applications such as summarization or human-machine interaction, motivating a need for automatic faithfulness metrics. To implement such metr...

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Veröffentlicht in:	arXiv.org 2023-05
Hauptverfasser:	Steen, Julius, Opitz, Juri, Frank, Anette, Markert, Katja
Format:	Artikel
Sprache:	eng
Schlagworte:	Data augmentation Datasets Inference Sentences
Online-Zugang:	Volltext
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