Large Language Models · Agents · Reasoning

Kou Shi

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

Google Scholar GitHub Zhihu BIVLab
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

    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

    A framework for synthesizing high-quality terminal-agent training tasks by preserving source intent and grounding artifacts in a shared executable environment state.

    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

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

    EMNLP 2026

    arXiv:2605.27995
  3. 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

Other Publications

  • 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

Internships

vivo Hangzhou R&D Center

Algorithm Intern, contributing to foundation model iteration

Sep 2025–Feb 2026

AI Lab

Foundation Model Intern, contributing to Intern-S2-Preview model iteration

Apr 2026–Sep 2026

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

arXiv:2602.02185 BIVLab