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Kwangwook Seo

I’m a Ph.D. student in the Data & Language Intelligence (DLI) Lab at Yonsei University, advised by Prof. Dongha Lee.

If you're interested in collaborating on research or exploring new ideas together, please feel free to connect with me anytime! I welcome the opportunity to discuss potential projects and innovative approaches, and I'm always open to hearing from fellow researchers and enthusiasts.

                   

🔎 Research Interest

My research interests encompass a broad range of topics within the scope of natural language processing (NLP). Recently, I have been particularly interested in:

  • Knowledge Augmentation of LMs with external knowledge sources
  • Enhancing LM’s internal knowledge activation via curating synthetic post-training data and quality control
  • Personalized Agents and User Simulation in diverse real environments
  • Reasoning over structured knowledge (e.g., tables, graph, ...) with complex information beyond general text

📚 Publications

*: denotes equal contribution.

BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback
Hyunseo Kim*, Sangam Lee*, Kwangwook Seo, Dongha Lee
arXiv, 2025
Paper / Code

In Their Own Words: Reasoning Traces Tailored for Small Models Make Them Better Reasoners
Jaehoon Kim, Kwangwook Seo, Dongha Lee
arXiv, 2025
Paper / Code

Stop Playing the Guessing Game! Evaluating Conversational Recommender Systems via Target-free User Simulation
Sunghwan Kim*, Kwangwook Seo*, Tongyoung Kim*, Jinyoung Yeo, Dongha Lee
EMNLP Findings, 2025
Paper / Code / Presentation / Poster

MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables
Kwangwook Seo*, Donguk Kwon*, Dongha Lee
ACL, 2025
Paper / Code / Presentation / Poster

Unveiling Implicit Table Knowledge with Question-Then-Pinpoint Reasoner for Insightful Table Summarization
Kwangwook Seo, Jinyoung Yeo, Dongha Lee
EMNLP Findings, 2024
Paper / Code / Presentation / Poster

VerifiNER: Verification-augmented NER via Knowledge-grounded Reasoning with Large Language Models
Seoyeon Kim*, Kwangwook Seo*, Hyungjoo Chae, Jinyoung Yeo Dongha Lee
ACL, 2024
Paper / Code / Presentation / Poster

🏆 Honors and Awards

  • 1st Prize – Bigcontest 2022 Data Analysis Champion League, MSIT and NIA
    Minister of Science and ICT Award
    Optimal Location Selection of EV Slow Charger
    Presentation / Blog Post

  • 3rd Prize – 2022 HUFS AI Idea Contetst , HUFS AIEI
    Development of SDGs Implementation Analysis System at Universities based on NLP

  • 1st Prize – 2022 HUFS 19th Spring Academic Conference, HUFS
    Regression Analysis on Brazilian Equity Index and Macroeconomic Influencing Factors

  • 2nd Prize – 2021 HUFS 18th Fall Academic Conference, HUFS
    Financial Ratio Analysis on Brazilian Travel Agencies Before and After COVID-19

📁 Work Experience

  • Research Intern, NAVER
    Naver Place, Team AirSPACE, 2025
    Advancing Personalized Place Search and Recommendation with User Simulation and Profiling

  • Research Intern, Twigfarm
    Sol Project 3rd Internship Program, 2022
    Enhancing Korean STS benchmark via scoring silver-label inconsistency

📖 Teaching

  • [AI Expert] Agent basics, Conversational Recommender Systems (2025), Samsung Electronics SNU R&D Center
    Teaching Assistant

  • [AI Expert] Information Retrieval and Recommender Systems (2024), Samsung Electronics SNU R&D Center
    Teaching Assistant, Project Mentorship

  • [AAI3120,CAS3120] Machine Learning (2024S, 2025S), Yonsei University
    Teaching Assistant

  • [AIC2110] Introduction to Data Science (2024S), Yonsei University
    Teaching Assistant