🤖 Wonduk Seo | AI Researcher

About Me

Hi! I’m Wonduk Seo, an AI Research Scientist at Enhans AI since January 2025 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. I’m passionate about building scalable, transparent, and interpretable methods that keep LLMs grounded in human values, sustain behavioral consistency, and mitigate hallucinations in real-world deployments.

Research Interests

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.
Multi-Agent Reasoning and Interaction: Developing collaborative agent architectures that support reasoning, prompt optimization, and hallucination reduction while enabling interpretable decision-making at scale.
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.
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.

News

[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) 🇫🇷.
[Feb. 2026] Released a new preprint: Toward Culturally Aligned LLMs through Ontology-Guided Multi-Agent Reasoning. arXiv.
[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..
[Jan. 2025] Rejoined Enhans AI as an AI Research Scientist.
[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.

Publications

Accepted Papers

ACL'26 Main

SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science

Wonduk Seo*, Juhyeon Lee*, Yanjun Shao, Qingshan Zhou, Seunghyun Lee, Yi Bu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL Main), 2026.

PDF

WSDM'26

A New Query Expansion Approach for Enhancing Information Retrieval via Agent-Mediated Dialogic Inquiry

Wonduk Seo, Hyunjin An, Seunghyun Lee

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining (WSDM), 2026.
ACM SIGKDD Workshop on AI Agent for Information Retrieval (SIGKDD-Agent4IR), 2025. Oral Presentation

PDF Slides Poster

ICPR'26

Automated Visualization Code Synthesis via Multi-Path Reasoning and Feedback-Driven Optimization

Wonduk Seo, Daye Kang, Hyunjin An, Taehan Kim, Soohyuk Cho, Seungyong Lee, Minhyeong Yu, Jian Park, Yi Bu, Seunghyun Lee

Proceedings of the International Conference on Pattern Recognition (ICPR), 2026.

PDF

AAAI-AIES'25

ValuesRAG: Enhancing Cultural Alignment Through Retrieval-Augmented Contextual Learning

Wonduk Seo, Zonghao Yuan, Yi Bu

Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (AAAI-AIES), 2025.

PDF Poster

BigData'25

Question-to-Knowledge: Multi-Agent Generation of Inspectable Facts for Product Mapping

Wonduk Seo*, Taesub Shin*, Hyunjin An, Dokyun Kim, Seunghyun Lee

2025 IEEE International Conference on Big Data (BigData) Industry Track, 2025. Oral Presentation

PDF Code Video

JCDL'25

Better by Comparison: Retrieval-Augmented Contrastive Reasoning for Automatic Prompt Optimization

Juhyeon Lee*, Wonduk Seo*, Hyunjin An, Seunghyun Lee, Yi Bu

Proceedings of the 25th ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2025. Oral Presentation

PDF Slides

EMBC'25

Pesti-Gen: Unleashing a Generative Molecule Approach for Toxicity Aware Pesticide Design

Taehan Kim*, Wonduk Seo*

47th International Conference of the IEEE Engineering in Medicine and Biology (EMBC), 2025. Oral Presentation

PDF Code Slides

QSS

Transforming Role Classification in Scientific Teams using LLMs and Advanced Predictive Analytics

Wonduk Seo, Yi Bu

Quantitative Science Studies 6, 505-523.

PDF Slides

Working Papers

W1

Toward Culturally Aligned LLMs through Ontology-Guided Multi-Agent Reasoning

Wonduk Seo, Wonseok Choi, Junseo Koh, Juhyeon Lee, Hyunjin An, Minhyeong Yu, Jian Park, Qingshan Zhou, Seunghyun Lee, Yi Bu

Under Review.

PDF Code Demo

W2

Prompt Optimization via Retrieved Reasoning Assets and Multi-Agent Analysis

Wonduk Seo, Juhyeon Lee, Junseo Koh, Hyunjin An, Jian Park, Seunghyun Lee, Haihua Chen, Yi Bu

Under review.

PDF Code

W3

GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval

Wonduk Seo*, Haojie Zhang*, Yueyang Zhang*, Changhao Zhang, Songyao Duan, Lixin Su, Daiting Shi, Jiashu Zhao, Dawei Yin

Under revision.

PDF

W4

MARIC: Multi-Agent Reasoning for Image Classification

Wonduk Seo*, Minhyeong Yu*, Hyunjin An, Seunghyun Lee

Under review.

PDF Code

W5

AIAP: A Multi Agent Workflow Builder with Visual Programming and Natural Language Prompts

Hyunjin An, Yongwon Kim, Wonduk Seo, Jian Park, Daye Kang, Changhoon Oh, Dokyun Kim, Seunghyun Lee

Under review.

PDF

Competition Awards

Ranked 9th, ACM'24 FinanceRAG Challenge (Team Leader), 11/2024

🥉 Kaggle – Enefit Predict Energy Behavior of Prosumers (Solo), 05/2024

🥉 Kaggle – Harvard Medical School Brain Activity Classification (Team Leader), 04/2024

🥈 Kaggle – CAFA 5 Protein Function Prediction (Solo), 12/2023

🥉 Kaggle – LLM Science Exam (Team), 10/2023

Dacon – Jeju Product Price Prediction (Solo; Top 1% among 1.4K participants), 10/2023

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)

Advisors and Collaborators

Advisors & Mentors

Xiangru Tang, Yale University (09/2023 – 11/2023)
Prof. Yi Bu, Peking University (03/2024 – Present)
Haojie Zhang, Researcher, Baidu (04/2024 – 12/2024)
Dawei Yin, Head of Search Science, Baidu (04/2024 – 01/2025)
Prof. Ying Ding, University of Texas at Austin (06/2024 – 08/2024)
Prof. Haihua Chen, University of North Texas (09/2025 – Present)

Collaborators

Hyunjin An, Enhans / Seoul National University (02/2025 – Present)
Taehan Kim, UC Berkeley (04/2024 – 09/2025)
Zonghao Yuan, Tsinghua University (11/2024 – 04/2025)
Minhyeong Yu, Enhans (07/2025 – Present)
SooHyuk Cho, Princeton University (11/2025 – Present)
Yanjun Shao, Yale University (12/2025 – Present)

Wonduk Seo