| 2026 | ACL | CUB: Benchmarking Context Utilisation Techniques for Language Models. | Lovisa Hagstrm, Youna Kim, Haeun Yu, Sang-goo Lee, Richard Johansson, Hyunsoo Cho, Isabelle Augenstein |
| 2026 | ACL | Inertia in Moral and Value Judgments of Large Language Models. | Bruce W. Lee, Yeongheon Lee, Hyunsoo Cho |
| 2025 | ACL | GOODLIAR: A Reinforcement Learning-Based Deceptive Agent for Disrupting LLM Beliefs on Foundational Principles. | Soo Kyung Kim, Hyunsoo Cho |
| 2024 | ACL | Unveiling Imitation Learning: Exploring the impact of Data Falsity to Large Language Model. | Hyunsoo Cho |
| 2024 | EMNLP | 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 |
| 2024 | NAACL | Instruction Tuning with Human Curriculum. | Bruce W. Lee, Hyunsoo Cho, Kang Min Yoo |
| 2023 | AAAI | 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 |
| 2023 | ACL | CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels. | Hyunsoo Cho, Youna Kim, Sang-goo Lee |
| 2023 | EMNLP | 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 |
| 2023 | ICLR | Finding the Global Semantic Representation in GAN through Frchet Mean. | Jaewoong Choi, Geonho Hwang, Hyunsoo Cho, Myungjoo Kang |
| 2023 | ICML | MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action. | Geonho Hwang, Jaewoong Choi, Hyunsoo Cho, Myungjoo Kang |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2021 | IJCAI | Masked Contrastive Learning for Anomaly Detection. | Hyunsoo Cho, Jinseok Seol, Sang-goo Lee |
| 2021 | SIGMOD | Rethink the Scan in MVCC Databases. | Jong-Bin Kim, Kihwang Kim, Hyunsoo Cho, Jaeseon Yu, Sooyong Kang, Hyungsoo Jung |
| 2020 | SIGMOD | Long-lived Transactions Made Less Harmful. | Jong-Bin Kim, Hyunsoo Cho, Kihwang Kim, Jaeseon Yu, Sooyong Kang, Hyungsoo Jung |
| 2018 | AIED | Automatic Generation of Multiple-Choice Fill-in-the-Blank Question Using Document Embedding. | Junghyuk Park, Hyunsoo Cho, Sang-goo Lee |