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

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: 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
Formato: Preprint
Publicado: 2025
Materias:
Artificial Intelligence
Other Condensed Matter
Computation and Language
High Energy Physics - Theory
Quantum Physics
Acceso en línea:
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