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On the limits and opportunities of AI reviewers: Reviewing the reviews of Nature-family papers with 45 expert scientists

Fuente: arXiv

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Bibliographic Details
Main Authors:	Kim, Seungone, Yoon, Dongkeun, Gashteovski, Kiril, Suk, Juyoung, Baek, Jinheon, Aggarwal, Pranjal, Wu, Ian, Zaverkin, Viktor, Petkoski, Spase, Schrider, Daniel R., Dukovski, Ilija, Santini, Francesco, Mitreska, Biljana, Jeong, Yong, Kwon, Kyeongha, Sim, Young Min, Manasova, Dragana, Porto, Arthur, Mojsoska, Biljana, Takamoto, Makoto, Shuntov, Marko, Liu, Ruoqi, Lee, Hyunjoo Jenny, Dinç, Niyazi Ulas, Jo, Yehhyun, Han, Sunkyu, Lee, Chungwoo, Li, Huishan, Tsai, Esther H. R., Simsek, Ergun, Shafi, Khushboo, Chung, Yeonseung, Park, Jihye, Shulevski, Aleksandar, Christiansen, Henrik, Son, Yoosang, Knight, Elly, Montoya, Amanda, Ahn, Jeongyoun, Langkammer, Christian, Moon, Heera, Yoon, Changwon, Stikov, Nikola, Jang, Mooseok, Choi, Edward, Kim, Junhan, Jung, Yeon Sik, Kim, Woo Youn, Kim, Jae Kyoung, Anjum, Ishraq Md, Kim, Hyun Uk, Bridges, Drew, Lawrence, Carolin, Yue, Xiang, Oh, Alice, Asai, Akari, Welleck, Sean, Neubig, Graham
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2605.20668