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Improving Methodologies for LLM Evaluations Across Global Languages

Fuente: arXiv

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Bibliographic Details
Main Authors:	Vij, Akriti, Chua, Benjamin, Ramiah, Darshini, Ng, En Qi, Morsidi, Mahran, Gangarapu, Naga Nikshith, Johnson, Sharmini, Wilfred, Vanessa, Kumaran, Vikneswaran, Lee, Wan Sie, Yang, Wenzhuo, Zheng, Yongsen, Black, Bill, Xia, Boming, Sun, Frank, Zhang, Hao, Lu, Qinghua, Ma, Suyu, Liu, Yue, Lo, Chi-kiu, Azadi, Fatemeh, Nejadgholi, Isar, Vajjala, Sowmya, Delaborde, Agnes, Rolin, Nicolas, Seimandi, Tom, Murakami, Akiko, Ishi, Haruto, Sekine, Satoshi, Semitsu, Takayuki, Sasaki, Tasuku, Kinuthia, Angela, Wangari, Jean, Michie, Michael, Kasaon, Stephanie, Baek, Hankyul, Noh, Jaewon, Nam, Kihyuk, Seo, Sang, Shin, Sungpil, Lee, Taewhi, Kim, Yongsu, Newbold-Harrop, Daisy, Wang, Jessica, Ghanem, Mahmoud, Hong, Vy
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2601.15706