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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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Bibliographische Detailangaben
Hauptverfasser:	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
Veröffentlicht:	2026
Schlagworte:	Computation and Language Artificial Intelligence Machine Learning
Online-Zugang:	Acceder al recurso
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