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Lingxi Zhang I am a Ph.D. student in the Department of Computer Science at Rice University, where I am advised by Dr. Hanjie Chen. I previously worked with Dr. Xia “Ben” Hu. My research focuses on Large Language Models (LLMs), with a specific emphasis on the efficiency and safety of multi-agent systems. I also have a strong background in knowledge-intensive tasks, including Retrieval-Augmented Generation (RAG) and Knowledge Base Question Answering (KBQA). Prior to Rice, I earned my bachelor's and master's degrees from Renmin University of China, where I worked with Dr. Jing Zhang on knowledge graphs and LLM reasoning. I am actively seeking Research Scientist, Applied Scientist, or ML Engineer internship opportunities starting May 2026. Please feel free to connect! Email / CV / Google Scholar / LinkedIn |
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Publications (* equal contribution) |
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A Decoupled Multi-Agent Framework for Complex Text Style Transfer Lingxi Zhang, Yu-Neng Chuang, Guanchu Wang, Ruixiang Tang, Xuanting Cai, Rajesh Shenoy and Xia Hu Findings of EMNLP, 2025. |
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ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling Lingxi Zhang, Yue Yu, Kuan Wang and Chao Zhang ACL, 2024. |
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Open-World Semi-Supervised Learning on Graph Yanling Wang, Jing Zhang, Lingxi Zhang, Lixin Liu, Yuxiao Dong, Cuiping Li, Hong Chen and Hongzhi Yin IEEE International Conference on Data Engineering (ICDE), 2024. |
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Fine-to-Coarse Compositional Framework for Knowledge Base Question Answering Lingxi Zhang, Jing Zhang, Yanling Wang, Shulin Cao, Xinmei Huang, Cuiping Li, Hong Chen, Juanzi Li ACL, 2023. |
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A survey on complex factual question answering Lingxi Zhang, Jing Zhang, Xirui Ke, Haoyang Li, Xinmei Huang, Zhonghui Shao, Shulin Cao, Xin Lv AI Open, 2023. |
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Neural-symbolic reasoning on knowledge graphs Jing Zhang, Bo Chen, Lingxi Zhang, Xirui Ke, Haipeng Ding AI Open, 2021. |
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Research intern, Georgia Institute of Technology April 2023 - June 2024 · Atlanta, GA Supervised by Dr. Chao Zhang Topic: Hallucination Issue in Large Language Model |
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Research Intern, ByteDance Nov 2021 - June 2022 · Beijing, China Topic: Document question answering (QA) system |
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Thanks to Jon Barron for the amazing template. |