I am currently a second-year Master’s student in Software Engineering at Peking University. Prior to this, I obtained my Bachelor’s degree from Wuhan University.
My research interests include Large Language Models (LLMs) and Vision-Language Models (VLMs). Recently, I have been focusing on enhancing the reasoning capabilities of LLMs and VLMs, as well as optimizing tool-calling capabilities and accuracy.
🔥 News
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2026.1: 🎉🎉 Our paper “Accurate and Efficient Personalized Query Rewriting in Baidu Search” was accepted to WWW 2026!
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2025.5: 🎉🎉 Our paper “Domain$o1$s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains” was accepted to ACL 2025 Findings!
📝 Selected Publications
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Accurate and Efficient Personalized Query Rewriting in Baidu Search
Xu Chu, Angela Li, Jiaming Zhang, Wei Li, Zhijie Tan, Dawei Yin, Shuaiqiang Wang, Daiting Shi
In Proc. of The 35th International World Wide Web Conference (WWW).
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Domain$o1$s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains
Xu Chu*, Zhijie Tan*, Hanlin Xue, Guanyu Wang, Tong Mo, Weiping Li
In Proc. of The 63rd Annual Meeting of the Association for Computational Linguistics (ACL).
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Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning
Xu Chu*, Hanlin Xue*, Bingce Wang, Xiaoyang Liu, Weiping Li, Tong Mo, Tuoyu Feng, Zhijie Tan
In Proc. of ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
✏️ Preprints
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Qwen Look Again: Guiding Vision-Language Reasoning Models to Re-attention Visual Information
Xu Chu*, Xinrong Chen*, Guanyu Wang*, Zhijie Tan, Kui Huang, Wenyu Lv, Tong Mo, Weiping Li
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GraphSOS: Graph Sampling and Order Selection to Help LLMs Understand Graphs Better
Xu Chu*, Hanlin Xue*, Zhijie Tan, Bingce Wang, Tong Mo, Weiping Li
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Order matters: Exploring order sensitivity in multimodal large language models
Zhijie Tan*, Xu Chu*, Weiping Li, Tong Mo
📖 Educations
- 2023.09 – Present: Master’s student in Software Engineering under the supervision of Prof. Weiping Li at Peking University.
- 2019.09 – 2023.07: Bachelor of Engineering, School of Electronic Information, Wuhan University.
💻 Internships
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2024.01 – 2024.05, NIO Shanghai, China.
Contributed to the development of the LLM framework BI Agent, primarily responsible for intent understanding, task routing, and reasoning using LLMs. -
2025.04 – 2026.01, Baidu, China.
During the summer internship, I received the Xinghai Talent Program. I participated in the pre-training of Search LLM and the reinforcement learning post-training of Query Rewriting LLM. My main focus was on compressing LLM chain-of-thought to reduce the inference time of the query rewriting LLM. -
2026.01 – present, Xiaomi, China.
I received the Top Campus Talent Program from Xiaomi’s LLM team during the fall recruitment. I will participate in optimizing the reinforcement learning training strategies for DeepResearch and GUI Agent during my internship and full-time employment.