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About Me
I’m a PhD student in Computer Science at University College London, where I’m a member of the UCL NLP Group and work with Prof. Emine Yilmaz. My research focuses on evaluating and improving language models’ reasoning, use of evidence, and alignment with human values. Previously, I was an undergraduate student at Peking University, where I was advised by Prof. Yi Bu. My first-author work has appeared at ICML, ACL, WSDM, SIGIR-ICTIR, ICPR, and BigData.
Education
Research Interests
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Alignment & interpretability Evaluating and aligning language models with human values through transparent reasoning and feedback.
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Multi-agent reasoning Building agent systems that reason together, optimize prompts, and reduce hallucinations.
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Information retrieval Enhancing information retrieval through query reformulation, retrieval fusion, and model training.
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Evidence in LLM pipelines Tracing how evidence is used across multi-stage systems, with post-training for better grounding and calibration.
Publications
* Equal contribution † Corresponding author
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Forty-Third International Conference on Machine Learning (ICML), 2026.
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SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL Main), 2026. -
A New Query Expansion Approach for Enhancing Information Retrieval via Agent-Mediated Dialogic Inquiry
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining (WSDM), 2026. -
Automated Visualization Code Synthesis via Multi-Path Reasoning and Feedback-Driven Optimization
Proceedings of the International Conference on Pattern Recognition (ICPR), 2026. -
RoTRAG: Rule of Thumb Reasoning for Conversation Harm Detection with Retrieval-Augmented Generation
International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR), 2026. Oral Presentation -
EPM-RL: Reinforcement Learning for On-Premise Product Mapping in E-Commerce
AAAI Summer Symposium Series (Extended Abstract Paper), 2026. Oral Presentation -
ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AAAI-AIES), 2025. -
Question-to-Knowledge: Multi-Agent Generation of Inspectable Facts for Product Mapping
2025 IEEE International Conference on Big Data (BigData) Industry Track, 2025. Oral Presentation -
Better by Comparison: Retrieval-Augmented Contrastive Reasoning for Automatic Prompt Optimization
Proceedings of the 25th ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2025. Oral Presentation -
Pesti-Gen: Unleashing a Generative Molecule Approach for Toxicity Aware Pesticide Design
47th International Conference of the IEEE Engineering in Medicine and Biology (EMBC), 2025. Oral Presentation -
Transforming Role Classification in Scientific Teams using LLMs and Advanced Predictive Analytics
Quantitative Science Studies (QSS) 6, 505-523.
Research Experience
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Data Mining Lab @ Peking University
–Advisor: Prof. Yi Bu
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Data Science Lab @ University of North Texas
–Advisor: Prof. Haihua Chen
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AI Health Lab @ UT Austin
–Advisor: Prof. Ying Ding
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Bioinformatics Lab @ Yale University
–Advisor: Dr. Xiangru Tang
Industry Experience
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Enhans AI
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Baidu, Inc.
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LG Chem
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News
- [Oct. 2026]New co-first author preprint released! F²ACT-VQA: Fusion-Driven Fact Retrieval with Generative Reranking for Knowledge-Intensive Visual Question Answering.
- [Jun. 2026]One co-first author paper got accepted to the International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR) for Oral Presentation.
- [May 2026]One first author paper got accepted to the Forty-Third International Conference on Machine Learning (ICML).
- [May 2026]One corresponding author abstract paper got accepted to the AAAI Summer Symposium Series for Oral Presentation.
- [Apr. 2026]One co-first author paper got accepted to the Annual Meeting of the Association for Computational Linguistics (ACL) 2026 Main Conference.
- [Apr. 2026]One first author paper got accepted to International Conference on Pattern Recognition (ICPR).
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- [Dec. 2025]One first author paper got accepted to ACM International Conference on Web Search and Data Mining (WSDM) !
- [Nov. 2025]One co-first author paper got accepted to ACM/IEEE Joint Conference on Digital Libraries (JCDL).
- [Oct. 2025]One co-first author paper got accepted to IEEE International Conference on Big Data 2025 Industry Track for Oral Presentation.
- [Jul. 2025]One first author paper got accepted to AAAI/ACM Conference on AI, Ethics, and Society (AIES) Main Track.
- [Jul. 2025]Graduated from Peking University (Bachelor in Information Management, Data Science)!
- [Jun. 2025]One first author paper accepted for Oral Presentation at the ACM SIGKDD 2025 Workshop on AI Agent for Information Retrieval.
- [Apr. 2025]One co-first author paper got accepted to IEEE Engineering in Medicine and Biology Society (EMBC) for Oral Presentation.
- [Apr. 2025]Gave a poster talk at the International Conference on Research in Computational Molecular Biology (RECOMB).
- [Feb. 2025]One first author paper accepted by Quantitative Science Studies (QSS).
- [Jan. 2025]Concluded my role as an LLM researcher at Baidu Inc..
- [Nov. 2024]Ranked 9th in the ACM'24 FinanceRAG Challenge as Team Leader.
- [May 2024]Earned a bronze medal in Kaggle’s Enefit Predict Energy Behavior of Prosumers (Solo).
- [Apr. 2024]Earned a bronze medal in Kaggle’s Harvard Medical School Brain Activity Classification (Team Leader).
- [Feb. 2024]Wrapped up my role as a Machine Learning Engineer at Enhans AI to pursue research-focused opportunities.
- [Dec. 2023]Earned a silver medal in Kaggle’s CAFA 5 Protein Function Prediction (Solo).
- [Oct. 2023]Earned a bronze medal in Kaggle’s LLM Science Exam (Team).
- [Aug. 2023]Completed my Data Scientist internship at LG Chem.
- [Apr. 2023]Completed a Data Scientist internship at BetaBrain.
- [Apr. 2022]Began a long-term collaboration with Prof. Yi Bu.
- [Dec. 2020]Began my AI journey, diving into machine learning research and engineering.
Research Community
Mentees
- Juhyeon Lee, Peking University; currently an intern at LG AI Research (03/2025 – Present)
- Junseo Koh, Peking University (08/2025 – Present)
- Wonseok Choi, Peking University; M.S. Computer Science, EURECOM (10/2025 – 05/2026)
- Wooseok Han, Tsinghua University; currently an intern at Z.ai (04/2026 – Present)
Collaboration network
Publication Collaboration Network
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Academic Service
Program Committee (PC) Member
- European Conference on Information Retrieval (ECIR), 2027
Reviewer
- The Web Conference (WWW), 2027
- Neural Information Processing Systems (NeurIPS), 2026
- Conference on Language Modeling (COLM), 2026
- The Pacific Rim International Conference on Artificial Intelligence (PRICAI), 2026
Awards & Competitions
- Participation in NVIDIA Hackathon Seoul, Model Training Track
- Ranked 9th, ACM'24 FinanceRAG Challenge (Team Leader)
- Bronze medal — Kaggle – Enefit Predict Energy Behavior of Prosumers (Solo)
- Bronze medal — Kaggle – Harvard Medical School Brain Activity Classification (Team Leader)
- Silver medal — Kaggle – CAFA 5 Protein Function Prediction (Solo)
- Bronze medal — Kaggle – LLM Science Exam (Team)
- Dacon – Jeju Product Price Prediction (Solo; Top 1% among 1.4K participants)
Language Proficiency
- Korean: Native proficiency
- Chinese: Full professional proficiency (HSK 6 obtained in 2018, score 254/300)
- English: Full professional proficiency (TOEFL obtained in 2026, score 100/120)