Towards a Hybrid Scheme for Application Adaptivity. - Hyunsoo Cho; Michael R. Fry; Aruna Seneviratne; Varuni Witana (COST 237 Workshop, 1995)

Quality of Service Mapping in Distributed Multimedia Systems (Invited Paper). - Aruna Seneviratne; Hyunsoo Cho (MMNET, 1995)

User centric QoS management framework and its implementation. - Aruna Seneviratne; Hyunsoo Cho (Integr. Comput. Aided Eng., 2000)

Improving Flash Storage Performance by Caching Address Mapping Table in Host Memory. - Wookhan Jeong; Hyunsoo Cho; Yongmyung Lee; Jaegyu Lee; SongHo Yoon; Joo Young Hwang; Dong-Gi Lee (HotStorage, 2017)

Automatic Generation of Multiple-Choice Fill-in-the-Blank Question Using Document Embedding. - Junghyuk Park; Hyunsoo Cho; Sang-goo Lee (AIED (2), 2018)

Leveraging Class Hierarchy in Fashion Classification. - Hyunsoo Cho; Chaemin Ahn; Kang Min Yoo; Jinseok Seol; Sang-goo Lee (ICCV Workshops, 2019)

Long-lived Transactions Made Less Harmful. - Jong-Bin Kim; Hyunsoo Cho; Kihwang Kim; Jaeseon Yu; Sooyong Kang; Hyungsoo Jung 001 (SIGMOD Conference, 2020)

The (s, s + d, ..., s + pd)-core partitions and the rational Motzkin paths. - Hyunsoo Cho; JiSun Huh; Jaebum Sohn (Adv. Appl. Math., 2020)

Self-conjugate partitions with the same disparity. - Hyunsoo Cho; JiSun Huh; Jaebum Sohn (Discret. Math., 2020)

Masked Contrastive Learning for Anomaly Detection. - Hyunsoo Cho; Jinseok Seol; Sang-goo Lee (IJCAI, 2021)

Rethink the Scan in MVCC Databases. - Jong-Bin Kim; Kihwang Kim; Hyunsoo Cho; Jaeseon Yu; Sooyong Kang; Hyungsoo Jung 001 (SIGMOD Conference, 2021)

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 001; Sang-goo Lee; Taeuk Kim (EMNLP, 2022)

Analyzing the Latent Space of GAN through Local Dimension Estimation. - Jaewoong Choi; Geonho Hwang; Hyunsoo Cho; Myungjoo Kang (CoRR, 2022)

Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator. - Hyuhng Joon Kim; Hyunsoo Cho; Junyeob Kim; Taeuk Kim; Kang Min Yoo; Sang-goo Lee (CoRR, 2022)

Corners of self-conjugate (s, s + 1)-cores and (s‾, s+1‾)-cores. - Hyunsoo Cho; Kyounghwan Hong (Discret. Math., 2022)

Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-Shot In-Context Learners. - Hyunsoo Cho; Hyuhng Joon Kim; Junyeob Kim; Sang-Woo Lee 001; Sang-goo Lee; Kang Min Yoo; Taeuk Kim (AAAI, 2023)

CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels. - Hyunsoo Cho; Youna Kim; Sang-goo Lee (ACL (1), 2023)

Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP. - Hyuhng Joon Kim; Hyunsoo Cho; Sang-Woo Lee 001; Junyeob Kim; Choonghyun Park; Sang-goo Lee; Kang Min Yoo; Taeuk Kim (EMNLP (Findings), 2023)

Finding the Global Semantic Representation in GAN through Fréchet Mean. - Jaewoong Choi; Geonho Hwang; Hyunsoo Cho; Myungjoo Kang (ICLR, 2023)

MAGANet: Achieving Combinatorial Generalization by Modeling a Group Action. - Geonho Hwang; Jaewoong Choi; Hyunsoo Cho; Myungjoo Kang (ICML, 2023)

Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning. - Hyunsoo Cho; Choonghyun Park; Junyeob Kim; Hyuhng Joon Kim; Kang Min Yoo; Sang-goo Lee (*SEM@ACL, 2023)

Combinatorics on Bounded Free Motzkin Paths and its Applications. - Hyunsoo Cho; JiSun Huh; Hayan Nam; Jaebum Sohn (Electron. J. Comb., 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 (CoRR, 2023)

Results on bar-core partitions, core shifted Young diagrams, and doubled distinct cores. - Hyunsoo Cho; JiSun Huh; Hayan Nam; Jaebum Sohn (Discret. Math., 2023)

Unveiling Imitation Learning: Exploring the impact of Data Falsity to Large Language Model. - Hyunsoo Cho (ACL (Findings), 2024)

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 (EMNLP (Findings), 2024)

Improving BERT-based FAQ Retrieval System using Query, Question and Answer Simultaneously. - Hyunsoo Cho; Jiwon Choi; Changju Noh; Kwang-Hyun Park (ICOIN, 2024)

Instruction Tuning with Human Curriculum. - Bruce W. Lee; Hyunsoo Cho; Kang Min Yoo (NAACL-HLT (Findings), 2024)

Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering. - Hoin Jung; Hyunsoo Cho; Myungje Choi; Joowon Lee; Jung Ho Park; Myungjoo Kang (CoRR, 2024)

Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection. - Choonghyun Park; Hyuhng Joon Kim; Junyeob Kim; Youna Kim; Taeuk Kim; Hyunsoo Cho; Hwiyeol Jo; Sang-goo Lee; Kang Min Yoo (CoRR, 2024)

Language Models Show Stable Value Orientations Across Diverse Role-Plays. - Bruce W. Lee; Yeongheon Lee; Hyunsoo Cho (CoRR, 2024)

GOODLIAR: A Reinforcement Learning-Based Deceptive Agent for Disrupting LLM Beliefs on Foundational Principles. - Soo Kyung Kim; Hyunsoo Cho (ACL (Findings), 2025)

On the distribution of t-hooks of doubled distinct partitions. - Hyunsoo Cho; Byungchan Kim; Eunmi Kim; Ae Ja Yee (Adv. Appl. Math., 2025)

The Largest Size of $(t,t+d,t+2d)$-Core Partitions. - Hyunsoo Cho; Kyeongjun Lee; Hayan Nam (Electron. J. Comb., 2025)

Analyzing the latent space of GAN through local dimension estimation for disentanglement evaluation. - Jaewoong Choi; Geonho Hwang; Hyunsoo Cho; Myungjoo Kang (Pattern Recognit., 2025)

CUB: Benchmarking Context Utilisation Techniques for Language Models. - Lovisa Hagström; Youna Kim; Haeun Yu; Sang-goo Lee; Richard Johansson; Hyunsoo Cho; Isabelle Augenstein (CoRR, 2025)

Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs. - Minsuh Joo; Hyunsoo Cho (CoRR, 2025)