Mentorship
Working with Me 🤗
NUS CTIC Research Internship Opportunities
I am currently looking for motivated research interns to join CTIC at NUS and work on emerging topics in trustworthy AI, LLM agents, and online safety.
Research areas include, but are not limited to:
- Trustworthy LLM Agents
- LLM Agent Safety and Governance
- Social Simulation with LLM Agents
- LLM Factuality and Fact-Checking
- Online Trust and Safety
Ideal candidates should:
- Be able to commit to at least 6 months of research work.
- Be comfortable coding in Python, preferably with experience in PyTorch, LLM APIs, or AI-assisted coding workflows.
- Be responsible, self-motivated, and genuinely interested in research.
- Have good logical thinking, clear communication skills, and the ability to work independently.
- Incoming first-year CS master’s students at NUS SoC are especially welcome to apply. Strong undergraduate students with relevant experience are also encouraged to reach out.
CTIC is a research center led by Prof. Lee Mong Li. This opportunity is especially suitable for students who hope to gain hands-on research experience in LLM agents, trustworthy AI, and online trust and safety, with the potential to contribute to research prototypes and academic publications.
If you are interested, please send your CV and a brief self-introduction to danielhzlin@nus.edu.sg.
General Mentorship
If you are a Computer Science student interested in working with me on topics related to Large Language Models, Trustworthy AI, Multimodal Machine Learning, or Online Trust and Safety, please feel free to reach out with your CV via email.
I take mentorship seriously. My goal is to collaborate closely with mentees rather than merely assigning tasks. Depending on your background and interests, we can work together on:
- Impactful research projects
- Open-source software applications
- Recent advances in Multimodal ML, Online Trust and Safety, Information Retrieval, Fact-Checking, Large Language Models, Code Intelligence, and related areas
I work closely with my academic partner Ziyang Luo. If you want to get a sense of our work, you are welcome to read my papers.
Due to limited availability, I can only mentor a small number of students at the same time. Some mentees I have worked with are listed below.
Current and Past Mentees
Shidong Cao, PhD student from Hong Kong Baptist University (HKBU). Finished project: “DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs.” Accepted by ACL 2026 Findings.
Jinghao Luo, master’s student from South China Normal University (SCNU). Finished project: “From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms.” Accepted by ACL 2026 Findings.
Zixin Chen, PhD student from Hong Kong University of Science and Technology, Guangzhou (HKUSTGZ). Finished project: “AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness.” Accepted by ACL 2025 conference.
Gailun Zeng, PhD student from Beijing Normal-Hong Kong Baptist University (BNBU). Finished project: “MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique.” Accepted by EMNLP 2025 Findings.
Yuwei Zhao, master’s student from Beihang University (BUAA). Finished project: “CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?” Accepted by COLING 2025 conference.
Shengkang Wang, master’s student from Beijing University of Posts and Telecommunications (BUPT). Finished project: “MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models.” Accepted by ICLR 2025 workshop.
Jianzhao Huang, master’s student from Beijing University of Posts and Telecommunications (BUPT). Finished project: “Towards Low-Resource Harmful Meme Detection with LMM Agents.” Accepted by EMNLP 2024 conference.
Liangliang Chen, master’s student from Beijing University of Posts and Telecommunications (BUPT). Finished project: “Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation.” Accepted by ECAI 2023 conference.