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arXiv — cs.AI

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FINCOSMOS: An Open-World Evaluation Paradigm for Agents in Finance

arXiv:2611.07464v1 Announce Type: new Abstract: Language agents increasingly work for users on the open Web, and finance is where trusting them is hardest. The data must come from the Web, the strategy lives in the user's head, and correctness depends on time, so an agent can…

arXiv — cs.AIBy: Yupeng Cao, Xueqing Peng, Lingfei Qian, Haohang Li, Yangyang Yu, Anke Xu, Wenbo Cao, Yan Wang, Yuechen Jiang, Yuyan Wang, Zhuohan Xie, Yankai Chen, Zehan Li, Jimin Huang, Xue Liu, Jian-Yun Nie, Sophia AnaniadouNovember 6, 2026 (2 hours ago)
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  • arXiv:2611.07464v1 Announce Type: new Abstract: Language agents increasingly work for users on the open Web, and finance is where trusting them is hardest
  • The data must come from the Web, the strategy lives in the user's head, and correctness depends on time, so an agent can…
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FINCOSMOS: An Open-World Evaluation Paradigm for Agents in Finance

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