Copertina

Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Zhu, Minhui, Tian, Minyang, Yang, Xiaocheng, Zhou, Tianci, Yuan, Lifan, Zhu, Penghao, Chertkov, Eli, Liu, Shengyan, Du, Yufeng, Ji, Ziming, Das, Indranil, Chen, Qingzhi, Cao, Junyi, Yu, Jiabin, Wu, Peixue, He, Jinchen, Su, Yifan, Jiang, Yikun, Zhang, Yujie, Liu, Chang, Huang, Ze-Min, Jia, Weizhen, Wang, Yunkai, Jafarpour, Farshid, Zhao, Yong, Chen, Xinan, Shelton, Jessie, Young, Aaron W., Bartolotta, John, Xu, Wenchao, Sun, Yue, Chu, Anjun, Colussi, Victor, Akers, Chris, Brooks, Nathan, Fu, Wenbo, Zhao, Jinchao, Qi, Marvin, Mu, Anqi, Yang, Yubo, Zang, Allen, Lyu, Yang, Mai, Peizhi, Wilson, Christopher, Guo, Xuefei, Zhou, Juntai, Inafuku, Daniel, Xue, Chi, Gao, Luyu, Yang, Ze, Hein, Yaïr, Kahn, Yonatan, Zhou, Kevin, Luo, Di, Wilson, John Drew, Reilly, Jarrod T., Bandak, Dmytro, Press, Ofir, Yang, Liang, Wang, Xueying, Tong, Hao, Chia, Nicolas, Huerta, Eliu, Peng, Hao
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Other Condensed Matter Computation and Language High Energy Physics - Theory Quantum Physics
Accesso online:	Acceder al recurso
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