Wonduk Seo
About Me
Hi, I’m Wonduk, an incoming PhD student in Computer Science at University College London, supervised by Prof. Emine Yilmaz, and a 2025 graduate of Peking University (Bachelor in Information Management, Big Data Management & Application). Previously, I was advised by Prof. Yi Bu at Peking University. My research focuses on scalable, transparent, and interpretable methods that keep LLMs grounded in human values, sustain behavioral consistency, and mitigate hallucinations in real-world deployments. I have published first-author papers at top AI venues such as ICML, ACL, WSDM, SIGIR-ICTIR, ICPR, and BigData.
Research Interests
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Socially Responsible, Interpretable, and Aligned AI: Advancing interpretability and accuracy in LLMs through transparent evaluation, retrieval-augmented reasoning, and feedback loop to ensure socially beneficial and context-aware behavior.
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Multi-Agent Reasoning and Interaction: Developing collaborative agent architectures that support reasoning, prompt optimization, and hallucination reduction while enabling interpretable decision-making at scale.
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Information Retrieval with LLMs: Designing adaptive query reformulation and expansion pipelines that capture nuanced intent and orchestrate multiple retrieval strategies for precise, transparent access to information.
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Evidence Inheritance in LLM Pipelines: Developing methods to track how external evidence is inherited, transformed, and selectively used across multi-stage LLM systems, so that provenance remains interpretable and trustworthy, and integrating LLM post-training to improve evidence grounding, calibration, and traceable reasoning.
Publications
* denotes equal contribution; † denotes corresponding author.
Accepted PapersAccepted / published
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ICML'26
Forty-Third International Conference on Machine Learning (ICML), 2026. -
ACL'26 Main
SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data ScienceProceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL Main), 2026. -
WSDM'26
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining (WSDM), 2026.
ACM SIGKDD-Agent4IR Workshop on AI Agent for Information Retrieval, 2025. Oral Presentation -
SIGIR-ICTIR'26
International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR), 2026. Oral Presentation -
ICPR'26
Proceedings of the International Conference on Pattern Recognition (ICPR), 2026. -
AAAI-Symposium'26
AAAI Summer Symposium Series (Extended Abstract Paper), 2026. Oral Presentation -
AAAI-AIES'25
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AAAI-AIES), 2025. -
BigData'25
2025 IEEE International Conference on Big Data (BigData) Industry Track, 2025. Oral Presentation -
JCDL'25
Proceedings of the 25th ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2025. Oral Presentation -
EMBC'25
47th International Conference of the IEEE Engineering in Medicine and Biology (EMBC), 2025. Oral Presentation -
Quantitative Science Studies
Quantitative Science Studies (QSS) 6, 505-523.
Working PapersUnder review / preprint
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W1
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W3
W2
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
– & – -
Baidu, Inc.
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LG Chem
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News
- [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) 🇫🇷.
View older news Hide older news 20 entries
- [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, Big Data Management & Application) 🎉!
- [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 (03/2025 – Present)
- Junseo Koh, Peking University (08/2025 – Present)
- Wonseok Choi, Peking University; M.S. Computer Science, EURECOM (10/2025 – Present)
- Wooseok Han, Tsinghua University; currently an intern at Z.ai (04/2026 – Present)
Explore publication collaboration network
Publication Collaboration Network
Co-authorship connections derived from my publications. Hover or select a person to explore.
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Academic Service
Conference Reviewers
- Conference on 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)
- 🥉 Kaggle – Enefit Predict Energy Behavior of Prosumers (Solo)
- 🥉 Kaggle – Harvard Medical School Brain Activity Classification (Team Leader)
- 🥈 Kaggle – CAFA 5 Protein Function Prediction (Solo)
- 🥉 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)
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