Publications

[P] = Preprint, [C] = Conferences , [W] = Workshops, [B] = Books, [D] = Domestic Conferences

2025

[C] GOODLIAR: A Reinforcement Learning-Based Deceptive Agent for Disrupting LLM Beliefs on Foundational Principles

Sookyung Kim, Hyunsoo Cho
Findings of the Association for Computational Linguistics: ACL 2025 (ACL Findings 2025)

[W] Cleanse: Uncertainty Estimation Approach Using Clustering-based Semantic Consistency in LLMs [paper]

Minsuh Joo, Hyunsoo Cho
GEM2 Workshop: Generation, Evaluation & Metrics (GEM2 @ ACL 2025)

[B] Foundations of LLMs and Financial Applications

Yoonseo Chung, Jeonghyun Kim, MiYeon Kim, Minsuh Joo, Hyunsoo Cho
Finance and Large Language Models, Springer Nature , ISBN: 978-981-96-5832-9

2024

[C] XplainScreen: Unveiling the Black Box of Graph Neural Network Drug Screening Models with a Unified XAI Framework

Geonhee Ahn, Md Mahim Anjum Haque, Subhashis Hazarika, and Soo Kyung Kim.
In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM '24)

[C] Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts [paper]

Youna Kim, Hyuhng Joon Kim, Cheonbok Park, Choonghyun Park, Hyunsoo Cho, Junyeob Kim, Kang Min Yoo, Sang-goo Lee, Taeuk Kim

Findings of the Association for Computational Linguistics: EMNLP 2024 (EMNLP Findings 2024)

[C] 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)

[C] 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)

[P] HyperCLOVA X Technical Report [paper]

HyperCLOVA X Team (Including Hyunsoo Cho)

[P] Language Models Show Stable Value Orientations Across Diverse Role-Plays [paper]

Bruce W. Lee, Yeongheon Lee, Hyunsoo Cho

2023

[P] Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection [paper]

Choonghyun Park, Hyuhng Joon Kim, Youna Kim, Junyeob Kim, Taeuk Kim, Hyunsoo Cho, Sang-goo Lee, Kang Min Yoo

[W] ClimFormer - a Spherical Transformer model for long-term climate projections

Salva R Cachay, Peetak Mitra, Sookyung Kim, Subhashis Hazarika, Kalai Ramea.
Machine Learning and the Physical Sciences Workshop at NeurIPS, 2023.

[C] Physics-empowered Molecular Representation Learning

Seunghoon Yi, Hongkee Yoon, Youngwoo Cho, Seungwoo Kho, Sookyung Kim and Joonseok Lee.
Submitted to ICLR-2023

[C] Conditioning buildings with Transferable Reinforcement Learning based Controllers (CTRL-C)

Sookyung Kim*, Chihyeon Song*, Weizhe Chen* et al.
Planned to submit to AAMAS-2023

[C] 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)

[C] 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)

[C] 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)

[C] 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)

Before 2022

[C] 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)

[C] 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)

[W] 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)

[C] Deep Symbolic Policy: Learning Interpretable Symbolic Policy with Reinforcement Learning

Sookyung Kim*, Mikel Landajuela Larma*, Brenden K. Petersen*
Proceedings of the International Conference on Machine Learning (ICML), 2021. [Oral presentation]

[C] Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients

Brenden K. Petersen, Mikel Landajuela Larma, Claudio Santiago, Sookyung Kim.
Proceedings of the International Conference on Learning Representations (ICLR), 2021.[Oral presentation]

[C] An interactive visualization platform for deep symbolic regression

Sookyung Kim*, Joanne T. Kim*,Brenden K. Petersen*.
Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence. 2021.

[C] Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE

Kangyeol Kim,* Sunghyun Park,* Junsoo Lee, Joonseok Lee, Sookyung Kim, Jaegul Choo, Edward Choi
The 32nd British Machine Vision Conference (BMVC), 2021.

[C] Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation

Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi.
Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021.

[C] Potential role of urban forest in removing PM2.5: A case study in Seoul by deep learning with satellite data

Ahreum Lee, Sujong Jeong, Jaewon Joo, Chan-Ryul Park, Jhoon Kim, Sookyung Kim.
Urban Climate, 2021.

[W] Deep-DFT: A Physics-ML Hybrid Approach to Predict Molecular Energy using Transformer

Youngwoo Cho, Hongkee Yoon, Seunghun Yi, Joonseok Lee, MJ Han, Jaegul Choo, Sookyung Kim
ML for Physical Science Workshop on Neurips, 2021.

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

Hyunsoo Cho, Jinseok Seol, Sang-goo Lee
The 30th International Joint Conference on Artificial Intelligence (IJCAI 2021)

[C] Learning to Focus and Track Extreme Climate Events

Sookyung Kim*, Sunghyun Park*, Sunghyo-Chung*, Yun-sung Lee, Joonseok Lee, Hyojin Kim, Mr Parbhat, Jaegul Choo.
British Machine Vision Conference (BMVC) (Spotlight Talk), 2019. (*equal contribution)

[C] Deep-Hurricane-Tracker: Tracking and Predicting Extreme Climate Events using ConvLSTM

Sookyung Kim, Hyojin Kim, Sangwoong Yoon, Joonseok Lee, Samira Kahou, Karthik Kashinath, Mr Prabhat.
IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.

[C] Reliable and explainable machine-learning methods for accelerated material discovery

Bhavya Kailkhura, Brian Gallagher, Sookyung Kim, Anna Hiszpanski, Yong T. Han.
Nature, NPJ. Computational Material, 2019.

[W] Physics-guided Reinforcement Learning for 3D Molecular Structures

Sookyung Kim*, Yongwoo Cho*, Peggy Li, Mike Surh, Yong T. Han.
ML for Physical Science on NeurIPS (Spotlight Talk), 2019.

[W] Optimizing 3D structure of H2O molecule using DDPQ

Sookyung Kim, Peggy Li, Joanne Kim, Piyush Karende, Yong T. Han.
Reinforcement Learning for Real Life Workshop on International Conference on Machine Learning (ICML), 2019.

[W] 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)

[W] 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)

[C] 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)

[D] FastText를 적용한 한국어 단어 임베딩 [paper]

Hyunsoo Cho, Sang-goo Lee
Korea Software Congress (KSC 2017)

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