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English(EN) Mint-Agent: Introducing Finance-Native Agentic Foundation Models

Mint-Agent模型首次亮相，在金融基准测试中表现强劲

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出Mint-Agent，这是一个专为金融应用设计的新型基础模型家族。这些模型基于三个核心组件构建：用于金融任务的专用数据引擎，用于与环境稳定交互和可审计证据链的工具，以及结合了监督微调、最优策略蒸馏和人类反馈强化学习的训练方法。旗舰模型Mint-Cu (9B)和Mint-Ag (27B)在金融基准测试中表现强劲，在可靠性和可执行性方面优于现有的GPT-5.6-Sol和Claude-Opus-4.8等模型。 AI

影响 通过联合工程化领域专业知识、长周期执行和可审计证据，为值得信赖的金融人工智能树立了新标杆。

排序理由 该项目是一篇介绍金融领域新型智能体基础模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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Mint-Agent模型首次亮相，在金融基准测试中表现强劲

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该项目是一篇介绍金融领域新型智能体基础模型的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Agent Team, B. Zhang, Yaze Geng, Lei Tang, Yaoyang Yi, Zonghan Wu, Yifan Hu, Kun Wang, Qingsong Wen, Yilei Shao ·

    Mint-Agent：推出原生金融的智能体基础模型

    arXiv:2608.16386v1 Announce Type: new Abstract: Financial agents must do more than recall domain knowledge: they must be both reliable, executing precise operations over grounded evidence, and executive, sustaining long-horizon research whose conclusions remain auditable. We pres…

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