Hyuhng Joon Kim

About

Hello, I am a Ph.D. candidate in Graduate School of Artificial Intelligence at Seoul National University. I am currently a member of IDS lab. My research interests are Natural Language Processing (NLP). In particular, I aim to develop reliable machine learning models capable of abstaining improper generations.

Education

• 2020.09 ~ present : MS. and Ph.D. (integrated) in Graduate School of Artificial Intelligence, Seoul National University
• Advisor : Prof. Sang-goo Lee
• 2014.03 ~ 2020.08 : B.S. in Computer Science and Engineering, Soongsil University

Work Experience

• 2020 : SWE intern in Tomato System
• 2019 : SWE intern in Naver Corp.

Recent Publications (Google Scholar)

1. When to Speak, When to Abstain: Contrastive Decoding with Abstention
   Hyuhng Joon Kim, Youna Kim, Sang-goo Lee, Taeuk Kim
   under-review
2. Reliability Across Parametric and External Knowledge: Understanding Knowledge Handling in LLMs
   Youna Kim, Minjoon Choi, Sungmin Cho, Hyuhng Joon Kim, Sang-goo Lee, Taeuk Kim
   under-review
3. Aligning Language Models to Explicitly Handle Ambiguity
   Hyuhng Joon Kim, Youna Kim, Cheonbok Park, Junyeob Kim, Choonghyun Park, Kang Min Yoo, Sang-goo Lee, Taeuk Kim
   The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024)
4. Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
   Youna Kim, Hyuhng Joon Kim, Cheonbok Park, Choonghyun Park, Hyunsoo Cho, Junyeob Kim, Kang Min Yoo, Sang-goo Lee, Taeuk Kim
   Findings of the Association for Computational Linguistics: EMNLP 2024 (Findings of EMNLP 2024)
5. Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
   Hyuhng Joon Kim, Hyunsoo Cho, Sang-Woo Lee, Junyeob Kim, Choonghyun Park, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
   Findings of the Association for Computational Linguistics: EMNLP 2023 (Findings of EMNLP 2023)
6. Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning
   Hyunsoo Cho, Choonghyun Park, Junyeop Kim, Hyuhng Joon Kim, Kang Min Yoo, Sang-goo Lee
   The 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
7. Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners
   Hyunsoo Cho, Hyuhng Joon Kim, Jun Yeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
   Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)
8. Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator
   Hyuhng Joon Kim, Hyunsoo Cho, Jun Yeob Kim, Taeuk Kim, Kang Min Yoo, Sang-goo Lee
   Workshop on Large-scale Pre-trained Language Models 2022 (NAACL Workshop)
9. Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
   Kang Min Yoo, Jun Yeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Taeuk Kim
   The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)