大语言模型 · 智能体 · 推理

时扣 Kou Shi

关注大语言模型智能体、工具调用、持续技能学习与科学智能体。

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时扣的个人照片

Education

教育经历

中国科学技术大学 USTC

硕士研究生

2025–至今

杭州电子科技大学 HDU

本科

2021–2025

Research

论文与技术报告

  1. 2026

    FACET: Preserving Source Intent and Executable State in Terminal Task Synthesis

    Kou Shi, Zun Wang, Qisheng Su, Shiting Huang, Ziao Zhang, Zhen Fang, Qingnan Ren, Jin Liu, Yu Zeng, Yiming Zhao, Lin Chen, Zehui Chen, Feng Zhao

    通过保留源任务意图并以共享的可执行环境状态为基础，合成高质量终端智能体训练任务。

    arXiv:2608.18580
  2. 2026

    AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios

    Kou Shi, Ziao Zhang, Shiting Huang, Avery Nie, Zhen Fang, Qiuchen Wang, Lin Chen, Huaian Chen, Zehui Chen, Feng Zhao

    评测智能体在多任务与工具延迟条件下的异步函数调用、依赖跟踪与任务协调能力。

    EMNLP 2026

    arXiv:2605.27995
  3. 2026

    Intern-S2-Preview: Scientific Agentic Foundation Model

    Lei Bai et al.，贡献者包括 Kou Shi

    面向多模态科学理解、推理、生成与长程任务的科学智能体基础模型技术报告。

    arXiv:2608.13505

其他论文

  • SkillFlow: Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents

    Ziao Zhang, Kou Shi, et al.

    arXiv

  • SaaSBench: Exploring the Boundaries of Coding Agents in Long-Horizon Enterprise SaaS Engineering

    Qingnan Ren, Shun Zou, Shiting Huang, Ziao Zhang, Kou Shi, et al.

    arXiv

  • Internalizing Meta-Experience into Memory for Guided Reinforcement Learning in Large Language Models

    Shiting Huang, Zecheng Li, Yu Zeng, Qingnan Ren, Zhen Fang, Qisheng Su, Kou Shi, et al. · EMNLP 2026

    arXiv

Internships

实习经历

vivo 杭州研发中心

算法实习生，参与基础模型迭代

2025.09–2026.02

AI Lab

基础模型实习生，参与 Intern-S2-Preview 模型迭代

2026.04–2026.09

Collaborative Research

协作研究

以下为所在团队参与的合作研究，与个人署名论文分开展示。

Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models

Yu Zeng, Wenxuan Huang, Zhen Fang, Shuang Chen, Yufan Shen, Yishuo Cai, Xiaoman Wang, Zhenfei Yin, Lin Chen, Zehui Chen, Shiting Huang, Yiming Zhao, Xu Tang, Yao Hu, Philip Torr, Wanli Ouyang, Shaosheng Cao

arXiv:2602.02185 BIVLab