Publications

[P2] HyperCLOVA X Technical Report [paper]

• HyperCLOVA X Team

[C10] Unveiling Imitation Learning: Exploring the Impact of Data Falsity to Large Language Model [paper]

• Hyunsoo Cho

• Findings of the Association for Computational Linguistics: ACL 2024 (ACL Findings 2024)

[C9] Instruction Tuning with Human Curriculum [paper]

• Hyunsoo Cho *, Bruce W. Lee *, Kang Min Yoo (* Equal contributions)

• Findings of the Association for Computational Linguistics: NAACL 2024 (NAACL Findings 2024)

[C8] Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP [paper]

• 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 (EMNLP Findings 2023)

[C7] Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning [paper]

• 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)

[C6] CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels [paper]

• Hyunsoo Cho,Youna Kim, Sang-goo Lee

• The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023)

[C5] Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners [paper]

• Hyunsoo Cho, Hyuhng Joon Kim, Junyeob Kim, Sang-Woo Lee, Sang-goo Lee, Kang Min Yoo, Taeuk Kim

• Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)

[C4] Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations [paper]

• Junyeob Kim, Kang Min Yoo, 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)

[C3] Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble [paper]

• Hyunsoo Cho, Choonghyun Park, Jaewook Kang, Kang Min Yoo, Taeuk Kim, Sang-goo Lee

• Findings of the Association for Computational Linguistics: EMNLP 2022 (EMNLP Findings 2022)

[C2] Masked Contrastive Learning for Anomaly Detection [paper]

• Hyunsoo Cho, Jinseok Seol, Sang-goo Lee

• The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021)

[C1] Automatic Generation of Multiple-Choice Fill-in-the-blank Question Using Document Embedding [paper]

• Junghyuk Park, Hyunsoo Cho, Sang-goo Lee

• The 19th International Conference on Artificial Intelligence in Education (AIED 2018)

[W3] Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator [paper]

• Hyuhng Joon Kim, Hyunsoo Cho, Junyeob Kim, Taeuk Kim, Kang Min Yoo, Sang-goo Lee

• Workshop on Large-scale Pre-trained Language Models (LPLM 2022 @ NAACL 2022)

[W2] Leveraging Class Hierarchy in Fashion Classification [paper]

• Hyunsoo Cho, Chaemin Ahn, Kang Min Yoo, Jinseok Seol, Sang-goo Lee

• The 2nd Workshop on Computer Vision for Fashion, Art and Design 2019 (CVFAD 2019 @ ICCV 2019)

[W1] Stochastic Relational Network [paper]

• Kang Min Yoo, Hyunsoo Cho, Hanbit Lee, Jeeseung Han, Sang-goo Lee

• The 1st Workshop on Statistical Deep Learning in Computer Vision 2019 (SDLCV 2019 @ ICCV 2019)

[D1] FastText를 적용한 한국어 단어 임베딩 [paper]

• Hyunsoo Cho, Sang-goo Lee

• Korea Software Congress (KSC 2017)