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Xingxuan Li (李星漩)


Research Scientist
MiroMind

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

About me

I am a research scientist at MiroMind, where I work on advancing large language models (LLMs), large multimodal models (LMMs), and agentic systems. More specifically, my current research focuses on LLM / LMM reasoning and agentic tool use.

Prior to joining MiroMind, I completed my Ph.D. through a joint program between Nanyang Technological University and Alibaba DAMO Academy. I was fortunate to be advised by Assoc. Prof. Shafiq Joty and Dr. Lidong Bing. During my Ph.D., my research centered on enhancing knowledge-augmented reasoning and safety of LLMs. Earlier in my academic journey, I earned a Bachelor of Engineering (Honours) in AI from Computer Science and Design (CSD) at Singapore University of Technology and Design (SUTD), fully funded by the Singapore Ministry of Education and SUTD through the SM2 scholarship. I then spent one and half year working as a quantitative analyst in a commodity trading house and completed a Master of Computing degree at National University of Singapore (NUS).

We are actively looking for research interns and full-time researchers. We offer: (1) a supportive and collaborative research environment, (2) sufficient GPU resources, and (3) competitive compensation. If you're interested in working with us, feel free to reach out!

News

  • [Aug 2025] 🚀 We released MiroMind Open Deep Research v0.1, a high-performance, fully open-sourced deep research project that grows with developers.
  • [Aug 2025] 🚀 We released MiroMind-M1 series, a fully open-source series of reasoning language models built on Qwen-2.5, focused on advancing mathematical reasoning.
  • [May 2025] 🎉 One paper accepted by ACL 2025.
  • [Jan 2025] 🎉 One paper accepted by NAACL 2025.
  • [Sep 2024] 🎉 One paper accepted by EMNLP 2024.

Honors & Awards

  • Alibaba Talent Programme, 2021 - 2025
  • NUS I&E Practicum @ SoC, $10,000, 2020
  • Best Demo Paper Nomination in ACL, 2018
  • SUTD Design and Engineering Scholarship, 2015 - 2019
  • MOE SM2 Scholarship, 2015 - 2019

Professional Service

  • Regular Reviewer: ICLR, ACL, EMNLP, ACL Rolling Review
  • Journal Reviewer: Human-Centric Intelligent Systems (HCIN)

Teaching & Talk

  • TA for SC1015 Introduction to Data Science and Artificial Intelligence (for UG, Jan-May 2023)
  • TA for CE7491 Digital Image Processing (for UG, Aug-Nov 2022)
  • TA for 10.007 Modelling The System World (for UG, Jan-Apr 2018)