Welcome!
Hi, nice to meet you! I’m Xu Jundong, a first-year PhD Student at the National University of Singapore (NUS) CTIC lab, working under the supervision of Prof. Mong-Li Lee and Prof. Wynne Hsu. I am also mentored by Dr. Hao Fei. Previously, I earned a Master of Computing from NUS and a BSc from University College London (UCL).
My work focuses on enhancing the symbolic reasoning capabilities of computational systems. I aim to develop methods that support systematic and reliable inference, helping to bridge the gap between data-driven approaches and structured logical reasoning.
I am especially interested in interdisciplinary collaborations and welcome discussions with researchers working on topics related to logic, reasoning, and neuro-symbolic frameworks. Please feel free to reach out via email to exchange ideas!
🔥 News
- 2025.09: 🎉🎉 The paper MuSLR has been accepted to NeurIPS 2025. See you in San Diego!
- 2025.06: 🎉🎉 The paper Aristotle has been selected as an oral presentation (8% of the accepted paper).
- 2025.05: 🎉🎉 The paper Aristotle has been accepted to ACL 2025 main conference.
- 2025.04: 🎉🎉 I got a PhD offer from NUS!
- 2025.01: 🎉🎉 I started working as a research assistant at NUS CTIC.
- 2025.01: 🎉🎉 I officially received my master’s degree.
- 2024.12: 🎉🎉 Our new paper Aristotle is released on Arxiv.
- 2024.10: 🎉🎉 One paper was accepted at the ACM MM Workshop on Multi-modal Misinformation Governance in the Era of Foundation Models.
- 2024.05: 🎉🎉 The paper SymbCoT has been accepted to the ACL 2024 main conference.
📝 Publications
MuSLR: Multimodal Symbolic Logical Reasoning
Jundong Xu, Hao Fei*, Yuhui Zhang, Liangming Pan, Qijun Huang, Qian Liu, Preslav Nakov, Min-Yen Kan, William Yang Wang, Mong-Li Lee, Wynne Hsu.
- We present the first multimodal symbolic reasoning benchmark grounded in formal logical rules, and propose a modular framework, LogiCAM, to enhance VLMs’ MuSLR capabilities.
Jundong Xu, Hao Fei*, Meng Luo, Qian Liu, Liangming Pan, William Yang Wang, Preslav Nakov, Mong-Li Lee, Wynne Hsu.
- This paper integrates a logic-complete decompose–search–resolve framework to strengthen LLM reasoning with symbolic logic.
Faithful Logical Reasoning via Symbolic Chain-of-Thought
Jundong Xu, Hao Fei*, Liangming Pan, Qian Liu, Mong-Li Lee, Wynne Hsu.
- This paper combines symbolic logical rules with the reasoning chain to improve logical reasoning in LLMs.
📖 Educations
- 2025.08 - Present, PhD in Computer Science, National University of Singapore
- 2023.01 - 2025.01, Master of Computing, National University of Singapore
- 2019.09 - 2022.07, BSc Information Management, University College London
💬 Invited Talks
- 2025.05, Invited to NICE (NLP Academic Exchange) to introduce ACL 2025 paper Aristotle. | [video]
- 2024.06, Invited to NICE (NLP Academic Exchange) to introduce ACL 2024 paper SymbCoT. | [video]
💻 Academic Services
- Reviewer: ACL (2025), ICLR (2025, 2026), EMNLP (2025), ACM MM (2024, 2025), Neurocomputing (2024, 2025), NLPCC (2024)
- Volunteer: ACL 2024
Miscellaneous
I love sports, especially basketball, tennis, and skiing. I’m a big fan of the Golden State Warriors and Stephen Curry, and I also admire Roger Federer. I enjoy reading books, especially science fiction and psychology. Some of my favorites include Narcissus and Goldmund and The Three-Body Problem. I also love watching movies. Some of my favorites are Fight Club by David Fincher and A Confucian Confusion by Edward Yang.