About
I'm a Ph.D. candidate in the Graduate School of Artificial Intelligence, Seoul National University. I work on Natural Language Processing, with a particular interest in the reliable integration of external knowledge and model knowledge.
Feel free to reach out if you'd like to connect or explore potential collaborations! π
Education
-
2021 - Present: Ph.D. at Seoul National University, Graduate School of Artificial Intelligence
Supervised by Prof. Sang-goo Lee -
2017 - 2020: B.S. at University of Wisconsin-Madison
Double Major in Computer Science & Statistics
Publications
-
CUB: Benchmarking Context Utilisation Techniques for Language Models
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026) [Paper] [Code] -
When to Speak, When to Abstain: Contrastive Decoding with Abstention
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) [Paper] -
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
Findings of the Association for Computational Linguistics: EMNLP 2024 [Paper] [Code] -
Aligning Language Models to Explicitly Handle Ambiguity
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) [Paper] -
CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) [Paper] -
Multi-Scale Contrastive Learning for Complex Scene Generation
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2023) [Paper]
Preprints (arXiv)
-
UniKnow: A Unified Framework for Reliable Language Model Behavior across Parametric and External Knowledge
Under Review [Paper]
Experience
-
Sep. 2019 - Dec. 2020: IT Programmer, Goldsmith Lab, Waisman Center, Madison, WI
Streamlined the Waisman Twin Project by developing automated applications to manage, share, and score psychological research data.