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Reliable and Responsible Foundation Models: A Comprehensive Survey

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Yang, Xinyu, Han, Junlin, Bommasani, Rishi, Luo, Jinqi, Qu, Wenjie, Zhou, Wangchunshu, Bibi, Adel, Wang, Xiyao, Yoon, Jaehong, Stengel-Eskin, Elias, Tong, Shengbang, Shen, Lingfeng, Rafailov, Rafael, Li, Runjia, Wang, Zhaoyang, Zhou, Yiyang, Cui, Chenhang, Wang, Yu, Zheng, Wenhao, Zhou, Huichi, Gu, Jindong, Chen, Zhaorun, Xia, Peng, Lee, Tony, Zollo, Thomas, Sehwag, Vikash, Leng, Jixuan, Chen, Jiuhai, Wen, Yuxin, Zhang, Huan, Deng, Zhun, Zhang, Linjun, Izmailov, Pavel, Koh, Pang Wei, Tsvetkov, Yulia, Wilson, Andrew, Zhang, Jiaheng, Zou, James, Xie, Cihang, Wang, Hao, Torr, Philip, McAuley, Julian, Alvarez-Melis, David, Tramèr, Florian, Xu, Kaidi, Jana, Suman, Callison-Burch, Chris, Vidal, Rene, Kokkinos, Filippos, Bansal, Mohit, Chen, Beidi, Yao, Huaxiu
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition Computers and Society
Accès en ligne:	Acceder al recurso
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