王曦立 (Xili Wang)
Ph.D.,
School of Mathematical Sciences,
Peking University
About Me
I received my Ph.D. in Computational Mathematics from the School of Mathematical Sciences, Peking University. Before that, I received my bachelor degree from the School of Mathematical Sciences, Fudan University, majoring in Information and Computational Science and ranking 1/52.
I am currently an LLM Engineer at Meituan LongCat Team.
Education
School of Mathematical Sciences, Computational Mathematics
School of Mathematical Sciences, Information and Computational Science, rank 1/52
Department of Mathematics, under the supervision of Professor Xiaoliang Wan
Collaborators
Work Experience
Meituan LongCat Team, LLM Engineer, Jun 2026 - Present
Meituan LongCat Team, LLM Intern, Mar 2025 - Sep 2025
Key contributor to agentic tool-use research and development, focusing on tool-use
data synthesis, supervised fine-tuning, and reinforcement learning for multi-turn LLM agents.
- Built two automated multi-turn tool-use data synthesis pipelines based on Multi-LLMs and MCP: a simulation pipeline with task-specific virtual databases and a real-execution pipeline that invokes MCP tools through user-agent-tool interactions.
- Used the synthesized multi-turn tool-use data for SFT of LongCat-Flash-Chat, a 560B-parameter MoE model, improving its agentic tool-use capability. LongCat-Flash-Chat achieved TAU2 Retail 71, TAU2 Airline 58, and TAU2 Telecom 68 on TAU2-Bench (SOTA as of Jun 2025).
- Worked on a multi-turn user-interacting reinforcement learning framework for agentic tool use. The work introduces LLM-simulated users into RL rollout so that agents learn to clarify dynamic user requirements, maintain task state, and coordinate tool calls over long interactions.
Research
My research interests include
- Large language model pre-training
- Deep adaptive sampling for scientific computing
- Numerical methods for PDE-constrained optimization problems
Publications and Preprints
- Yueyang Wang, Xili Wang, Kejun Tang, Xiaoliang Wan, Tao Zhou, and Chao Yang. Deep Adaptive Dimension Reduction for Bayesian Inference in Inverse Problems. arXiv:2605.29373, 2026.
- Zhitao Zhu, Xili Wang†, Shizhe Wu, Jiawei Fu, and Xiaoqing Liu. How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws. arXiv:2605.25698, 2026.
- Yueyang Wang, Jiawei Fu, Baolong Bi, Xili Wang, and Xiaoqing Liu. HE-SNR: Uncovering Latent Logic via Entropy for Guiding Mid-Training on SWE-bench. International Conference on Machine Learning (ICML), 2026.
- Yueyang Wang, Kejun Tang, Xili Wang, Xiaoliang Wan, Weiqing Ren, and Chao Yang. Estimating committor functions via deep adaptive sampling on rare transition paths. Journal of Computational Physics, 544:114439, 2026.
- Meituan LongCat Team, including Xili Wang. LongCat-Flash Technical Report. arXiv:2509.01322, 2025.
- Weikang Zhao, Xili Wang†, Chengdi Ma, Lingbin Kong, Zhaohua Yang, Mingxiang Tuo, Xiaowei Shi, Yitao Zhai, and Xunliang Cai. MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use. arXiv:2508.18669, 2025.
- Keer Lu, Chong Chen, Xili Wang, Bin Cui, Yunhuai Liu, and Wentao Zhang. PilotRL: Training Language Model Agents via Global Planning-Guided Progressive Reinforcement Learning. arXiv:2508.00344, 2025.
- Xili Wang, Kejun Tang, Jiayu Zhai, Xiaoliang Wan, and Chao Yang. Deep Adaptive Sampling for Surrogate Modeling Without Labeled Data. Journal of Scientific Computing, 101:77, 2024.
- Xili Wang, Pengfei Yin, Bo Zhang, and Chao Yang. AONN-2: An adjoint-oriented neural network method for PDE-constrained shape optimization. Journal of Computational Physics, 513:113160, 2024.
† Corresponding author.
Patents
- 杨超, 王曦立, 尹鹏飞, 张博. 形状优化方法及计算机存储介质和终端设备, 中国专利, CN116680763B[P], 2024-05-17.
Invited Talks
- "AONN-2: An adjoint-oriented neural network method for PDE-constrained shape optimization", SIAM Conference on Mathematics of Data Science (MDS24), Atlanta, Georgia, USA, Oct 2024.
- "DL for PDEs: towards parametric, high-dimensional and PDE-constrained optimization", Louisiana State University, Baton Rouge, Louisiana, USA, Oct 2024.
Honors and Awards
- 北京大学数学科学学院“优秀毕业生”,2026 年
- 2023-2024 学年北京大学优秀科研奖
- 2023-2024 学年北京大学兴业银行奖学金
- 2022-2023 学年北京大学“硕博杯”羽毛球比赛第八名
- 复旦大学“拔尖计划”荣誉学生,2021 年
- 2020-2021 学年复旦大学本科优秀学生奖学金(毕业生奖学金)
- 2019-2020 学年复旦大学本科优秀学生奖学金一等奖(董氏奖学金)
- 2019-2020 学年复旦大学本科生专业奖学金
- 2018-2019 学年复旦大学本科优秀学生奖学金二等奖
- 2018-2019 学年复旦大学本科生专业奖学金