Scholar
Dongha Lee
Google Scholar ID: driVwKwAAAAJ
Yonsei University
Citations & Impact
Citations
1,385
H-index
20
i10-index
32
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Published numerous papers in the fields of large language models, information retrieval, and recommender systems. Some of the publications include:
- - In Their Own Words: Reasoning Traces Tailored for Small Models Make Them Better Reasoners (2025)
- - BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback (2025)
- - BPL: Bias-adaptive Preference Distillation Learning for Recommender System (2025)
- - Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning (2025, NeurIPS Spotlight)
- - Can Large Language Models be Effective Online Opinion Miners? (2025)
- - Towards Personalized Conversational Sales Agents: Contextual User Profiling for Strategic Action (2025)
- - Stop Playing the Guessing Game! Target-free User Simulation for Evaluating Conversational Recommender Systems (2024)
- - Can Code-Switched Texts Activate a Knowledge Switch in LLMs? A Case Study on English-Korean Code-Switching (2024)
- - How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code (2025)
- - HIPPO-Video: Simulating Watch Histories with Large Language Models for Personalized Video Highlighting (2025)
- - Imagine All The Relevance: Scenario-Profiled Indexing with Knowledge Expansion for Dense Retrieval (2025)
- - LLMs Think, But Not In Your Flow: Reasoning-Level Personalization for Black-Box Large Language Models (2025)
- - MT-RAIG: Novel Benchmark and Evaluation Framework for Retrieval-Augmented Insight Generation over Multiple Tables (2025)
- - Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization (2025)
- - Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation (2025)
- - Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation (2025)
Research Experience
- Holds faculty positions at Yonsei University and POSTECH, and conducted postdoctoral research at UIUC. His research areas include large language models, information retrieval, and recommender systems.
Education
- Received a Ph.D. in Computer Science from POSTECH, advised by Prof. Hwanjo Yu. During his Ph.D., he worked as a visiting scholar at UT Health under the supervision of Prof. Xiaoqian Jiang. After completing his Ph.D., he worked as a postdoctoral research fellow at UIUC with Prof. Jiawei Han.
Background
- An assistant professor in the Department of Artificial Intelligence at Yonsei University, and an adjunct professor at the Graduate School of Artificial Intelligence at POSTECH. Research interests include transforming real-world data into artificial intelligence, large language models, and information retrieval & recommender systems.
