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 while mitigating hallucination.
🔥 News
- 2025.5: 🎉🎉 Our paper “Domain$o1$s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains” was accepted to ACL 2025 Findings!
- 2024.12: 🎉🎉 Our paper “Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning” was accepted to ICASSP 2025!
- 2024.12: 🎉🎉 Our paper “Mitigating Hallucinations on Object Attributes using Multiview Images and Negative Instructions” was accepted to ICASSP 2025!
📝 Selected Publications
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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 – Present, Baidu, China.
Participated in pre-training of search LLM and post-training with reinforcement learning for query rewriting LLM. Primarily focused on compressing LLM chains of thought to reduce inference time for query rewriting LLM.