Hyunsoo Cho

About

Hi, I'm Hyunsoo Cho, an Assistant Professor in the Department of Artificial Intelligence at Ewha Womans University. My research primarily focuses on Natural Language Processing and Machine Learning, with particular attention to Foundation Models, Anomaly Detection, and Self-Supervised Learning. Prior to my current role, I worked as a Postdoctoral Researcher at Seoul National University and a Visiting Researcher at Naver. I also earned my M.S. and Ph.D. from Seoul National University in 2018 and 2023, respectively. Throughout my doctoral studies, I had the privilege of being mentored by Prof. Sang-goo Lee.

Selected Papers

• Unveiling Imitation Learning: Exploring the Impact of Data Falsity to Large Language Model.
  Hyunsoo Cho
  ACL Findings 2024
• Instruction Tuning with Human Curriculum.
  Hyunsoo Cho *, Bruce W. Lee *, Kang Min Yoo
  NAACL Findings 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
  EMNLP Findings 2023
• CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels.
  Hyunsoo Cho, Youna Kim, Sang-goo Lee
  ACL 2023
• 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
  *SEM 2023
• Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-shot In-Context Learners.
  Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim
  AAAI 2023
• Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble.
  Hyunsoo Cho, Choonghyun Park, Jaewook Kang, Kang Min Yoo, Taeuk Kim, Sang-goo Lee
  EMNLP Findings 2022
• Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations.
  Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim, Hyunsoo Cho, Hwiyeol Jo, Sang-Woo Lee, Sang-goo Lee, Taeuk Kim
  EMNLP 2022
• Masked Contrastive Learning for Anomaly Detection.
  Hyunsoo Cho, Jinseok Seol, Sang-goo Lee
  IJCAI 2021