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Potential and Perils of Large Language Models as Judges of Unstructured Textual Data

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Bedemariam, Rewina, Perez, Natalie, Bhaduri, Sreyoshi, Kapoor, Satya, Gil, Alex, Conjar, Elizabeth, Itoku, Ikkei, Theil, David, Chadha, Aman, Nayyar, Naumaan
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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