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On the Benefits of Fine-Grained Loss Truncation: A Case Study on Factuality in Summarization

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Flores, Lorenzo Jaime Yu, Cohan, Arman
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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