Interpreting Answers to Yes-No Questions in User-Generated Content. - Shivam Mathur; Keun Hee Park; Dhivya Chinnappa; Saketh Kotamraju; Eduardo Blanco 002 (EMNLP (Findings), 2023)

Interpreting Indirect Answers to Yes-No Questions in Multiple Languages. - Zijie Wang; Md Mosharaf Hossain; Shivam Mathur; Terry Cruz Melo; Kadir Bulut Özler; Keun Hee Park; Jacob Quintero; MohammadHossein Rezaei; Shreya Nupur Shakya; Md Nayem Uddin; Eduardo Blanco 002 (EMNLP (Findings), 2023)

Adversarial Demonstration Attacks on Large Language Models. - Jiongxiao Wang; Zichen Liu; Keun Hee Park; Muhao Chen 001; Chaowei Xiao (CoRR, 2023)

Concept-Centric Transformers: Enhancing Model Interpretability through Object-Centric Concept Learning within a Shared Global Workspace. - Jinyung Hong; Keun Hee Park; Theodore P. Pavlic (WACV, 2024)

Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks. - Jinyung Hong; Eun Som Jeon; Changhoon Kim; Keun Hee Park; Utkarsh Nath; Yezhou Yang; Pavan K. Turaga; Theodore P. Pavlic (CoRR, 2024)

Bi-ICE: An Inner Interpretable Framework for Image Classification via Bi-directional Interactions between Concept and Input Embeddings. - Jinyung Hong; Yearim Kim; Keun Hee Park; Sangyu Han; Nojun Kwak; Theodore P. Pavlic (CoRR, 2024)

Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations. - Jinyung Hong; Eun Som Jeon; Changhoon Kim; Keun Hee Park; Utkarsh Nath; Yezhou Yang; Pavan K. Turaga; Theodore P. Pavlic (UniReps, 2025)