Xingxuan Li (李星漩)

Research Scientist
MiroMind

Contact: lixingxuan98 [at] gmail.com
More about me: Google Scholar / GitHub / LinkedIn / Twitter

Recent Preprints [* denotes equal contribution]

• Multi-Agent Tool-Integrated Policy Optimization
  Zhanfeng Mo*, Xingxuan Li*, Yuntao Chen, Lidong Bing
  arXiv:2510.04678
  [paper] [data&code]
• MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization
  Xingxuan Li*, Yao Xiao*, Dianwen Ng*, Hai Ye*, Yue Deng*, Xiang Lin*, Bin Wang*, Zhanfeng Mo, Chong Zhang, Yueyi Zhang, Zonglin Yang, Ruilin Li, Lei Lei, Shihao Xu, Han Zhao, Weiling Chen, Feng Ji, Lidong Bing
  arXiv:2507.14683
  [paper] [data&code]
• MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs
  Juncheng Wu, Wenlong Deng, Xingxuan Li, Sheng Liu, Taomian Mi, Yifan Peng, Ziyang Xu, Yi Liu, Hyunjin Cho, Chang-In Choi, Yihan Cao, Hui Ren, Xiang Li, Xiaoxiao Li, Yuyin Zhou
  arXiv:2504.00993
  [paper] [data&code]

Selected Publications [* denotes equal contribution]

• Chain-of-Ideas: Revolutionizing Research via Novel Idea Development with LLM Agents
  Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, Yu Rong, Deli Zhao, Tian Feng, Lidong Bing
  Conference on Empirical Methods in Natural Language Processing (EMNLP) 2025 Findings
  [paper] [data&code]
• A Comprehensive Survey of Contamination Detection Methods in Large Language Models
  Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty
  Transactions on Machine Learning Research (TMLR)
  [paper] [data&code]
• Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks
  Xingxuan Li, Weiwen Xu, Ruochen Zhao, Fangkai Jiao, Shafiq Joty, Lidong Bing
  Annual Meeting of the Association for Computational Linguistics (ACL) 2025
  [paper] [data&code]
• ParaICL: Towards Parallel In-Context Learning
  Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing
  Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL) 2025
  [paper] [data&code]
• Evaluating Psychological Safety of Large Language Models
  Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing.
  Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024
  [paper] [data&code]
• SeaLLMs - Large Language Models for Southeast Asia
  Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Zhiqiang Hu, Chenhui Shen, Yew Ken Chia, Xingxuan Li, Jianyu Wang, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing.
  Annual Meeting of the Association for Computational Linguistics (ACL) 2024 System Demostration Track
  [website]
• Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
  Xingxuan Li*, Ruochen Zhao*, Yew Ken Chia*, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing.
  International Conference on Learning Representations (ICLR) 2024
  [paper] [data&code]
• Retrieving Multimodal Information for Augmented Generation: A Survey
  Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Xuan Long Do, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq Joty.
  Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023 Findings
  [paper]
• Is GPT-4 a Good Data Analyst?
  Liying Cheng, Xingxuan Li, Lidong Bing.
  Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023 Findings
  [paper] [data&code]
• Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework
  Ruochen Zhao*, Xingxuan Li*, Shafiq Joty, Chengwei Qin, Lidong Bing.
  Annual Meeting of the Association for Computational Linguistics (ACL) 2023
  [paper] [data&code]
• Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
  Linlin Liu*, Xingxuan Li*, Megh Thakkar, Xin Li, Lidong Bing, Shafiq Joty, Luo Si.
  Annual Meeting of the Association for Computational Linguistics (ACL) 2023
  [paper] [data&code]
• YEDDA: A Lightweight Collaborative Text Span Annotation Tool
  Jie Yang, Yue Zhang, Linwei Li, Xingxuan Li.
  Annual Meeting of the Association for Computational Linguistics (ACL) 2018 System Demostration Track
  [paper] [data&code]
  Best Demo Paper Nomination