Lee, Youngwon (이영원)
Integrated M.S./Ph.D. Student
Department of Computer Science and Engineering
Research Interests
- Conditional text generation
- Retrieval-augmented generation
Education
- Ph.D. student in Computer Science, Seoul National University, 2022-Present
- B.S. in Computer Science, Seoul National University, 2022
Publications
- CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation, NAACL 2025 (short)
Youngwon Lee, Seung-won Hwang, Daniel Campos, Filip Graliński, Zhewei Yao, Yuxiong He. - Inference Scaling for Bridging Retrieval and Augmented Generation, Findings of NAACL 2025
Youngwon Lee, Seung-won Hwang, Daniel Campos, Filip Graliński, Zhewei Yao, Yuxiong He. - Query Variant Detection Using Retriever as Environment, NAACL 2025 (Industry Track)
{Minji Seo, Youngwon Lee}, Seung-won Hwang, Seoho Song, Hee-Cheol Seo, Young-In Song. - PERC: Plan-As-Query Example Retrieval for Underrepresented Code Generation, COLING 2025 (short)
Jaeseok Yoo, Hojae Han, Youngwon Lee, Jaejin Kim, Seung-won Hwang. - ArchCode: Incorporating Software Requirements in Code Generation with Large Language Models, ACL 2024
Hojae Han, Jaejin Kim, Jaeseok Yoo, Youngwon Lee, Seung-won Hwang. - Learning to Rank Generation with Pairwise Partial Rewards, EMNLP 2023
{Youngwon Lee, Jinu Lee}, Seung-won Hwang. - On Sample-Efficient Code Generation, EMNLP 2023 (Industry Track)
Hojae Han, Yu Jin Kim, Byoungjip Kim, Youngwon Lee, Kyungjae Lee, Kyungmin Lee, Moontae Lee, Kyunghoon Bae, Seung-won Hwang. - Normalizing Mutual Information for Robust Adaptive Training for Translation, EMNLP 2022 (short)
Youngwon Lee, Changmin Lee, Hojin Lee, Seung-won Hwang. - Bridging Code-Text Representation Gap using Explanation, ACML 2021
Hojae Han, Youngwon Lee, Minsoo Kim, Seung-won Hwang.