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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
Guardado en:
Detalles Bibliográficos
Autores principales: 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
Formato: Preprint
Publicado: 2026
Materias:
Computation and Language
Artificial Intelligence
Machine Learning
Acceso en línea:
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