Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025

Fuente: arXiv

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Bibliographic Details
Main Authors:	Thakkar, Nitya, Yuksekgonul, Mert, Silberg, Jake, Garg, Animesh, Peng, Nanyun, Sha, Fei, Yu, Rose, Vondrick, Carl, Zou, James
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language Human-Computer Interaction Machine Learning
Online Access:	Acceder al recurso
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