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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:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

https://arxiv.org/abs/2605.20668