时扣 Kou Shi

1. 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
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。

   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

   面向长程企业级 SaaS 工程的编码智能体基准，覆盖异构技术栈与系统级集成。

   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

   研究自主智能体如何从连续经验中发现、修复、迁移并持续维护技能。

   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

   将错误归因形成的元经验内化到模型参数记忆中，增强推理知识的复用能力。

   arXiv:2602.10224

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。