Large Language Models · Agents · Reasoning

Kou Shi

My work focuses on LLM agents, tool use, lifelong skill learning, and scientific agents.

Portrait of Kou Shi

Education

Education

University of Science and Technology of China USTC

M.S. Student

2025–Present

Hangzhou Dianzi University HDU

Bachelor's Degree

2021–2025

Research

Publications & Technical Reports

  1. 2026

    Intern-S2-Preview: Scientific Agentic Foundation Model

    Lei Bai et al., with Kou Shi as a contributor

    A technical report on scientific agentic foundation models for multimodal understanding, reasoning, generation, and long-horizon tasks.

    arXiv:2608.13505
  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

    A benchmark for asynchronous function calling, dependency tracking, and coordination under multi-task workloads and tool latency.

    arXiv:2605.27995
  3. 2026

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

    Qingnan Ren, Shun Zou, Shiting Huang, Ziao Zhang, Kou Shi, Zhen Fang, Yiming Zhao, Yu Zeng, Qisheng Su, Lin Chen, Yong Wang, Zehui Chen, Xiangxiang Chu, Feng Zhao

    A benchmark for coding agents in long-horizon enterprise SaaS engineering across heterogeneous stacks and system-level integration.

    arXiv:2605.17526
  4. 2026

    SkillFlow: Benchmarking Lifelong Skill Discovery and Evolution for Autonomous Agents

    Ziao Zhang, Kou Shi, Shiting Huang, Avery Nie, Yu Zeng, Yiming Zhao, Zhen Fang, Qishen Su, Haibo Qiu, Wei Yang, Qingnan Ren, Shun Zou, Wenxuan Huang, Lin Chen, Zehui Chen, Feng Zhao

    A benchmark for how autonomous agents discover, repair, transfer, and maintain skills over sequential experience.

    arXiv:2604.17308
  5. 2026

    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, Lin Chen, Zehui Chen, Feng Zhao

    Internalizing error-derived meta-experience into parametric memory to improve reusable reasoning knowledge.

    arXiv:2602.10224

Internships

Internships

vivo Hangzhou R&D Center

Large Model Algorithm Intern

Sep 2025–Jan 2026

AI Lab

Foundation Model Intern

Dates to be added

Collaborative Research

Collaborative Research

Research involving my broader group is listed separately from papers on which I am a named author.

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