Education
- 2020.09 - present M.S. Student in Graduate School of AI, Seoul National University, Seoul, Korea
- 2014.03 - 2020.08 B.S. in Computer Science and Engineering, Soongsil University, Seoul, Korea
Hyuhng Joon Kim
Ph.D. Candidate
Intelligent Data Systems Lab.
Dept. of Computer Science and Engineering
Seoul National University
Name 김형준 (Hyuhng Joon Kim)
Email heyjoonkim at europa.snu.ac.kr
Homepage https://heyjoonkim.github.io
Publications
- 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
arXiv:2404.11972 [cs.CL], 2024 - 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 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023 - Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning
Hyunsoo Cho, Choonghyun Park, Jun Yeob Kim, Hyuhng Joon Kim, Kang Min Yoo, Sang-goo Lee
The 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023), 2023 - 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), 2023 - 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), 2022 - 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
2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), 2022