| 2026 | EACL | Mary, the Cheeseburger-Eating Vegetarian: Do LLMs Recognize Incoherence in Narratives? | Karin de Langis, Pren ncel, Ryan Peters, Andrew Elfenbein, Laura Kristen Allen, Andreas Schramm, Dongyeop Kang |
| 2026 | EACL | Strong Memory, Weak Control: An Empirical Study of Executive Functioning in LLMs. | Karin de Langis, Jong Inn Park, Khanh Chi Le, Andreas Schramm, Andrew Elfenbein, Michael C. Mensink, Dongyeop Kang |
| 2025 | ACL | How LLMs Comprehend Temporal Meaning in Narratives: A Case Study in Cognitive Evaluation of LLMs. | Karin de Langis, Jong Inn Park, Andreas Schramm, Bin Hu, Khanh Chi Le, Dongyeop Kang |
| 2024 | EMNLP | Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation. | Karin de Langis, Ryan Koo, Dongyeop Kang |
| 2023 | ACL | infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information. | Jaehyung Kim, Yekyung Kim, Karin de Langis, Jinwoo Shin, Dongyeop Kang |
| 2023 | CoNLL | A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models. | Karin de Langis, Dongyeop Kang |
| 2021 | ICRA | Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance. | Jungseok Hong, Karin de Langis, Cole Wyeth, Christopher Walaszek, Junaed Sattar |
| 2021 | IROS | Towards Robust Visual Diver Detection Onboard Autonomous Underwater Robots: Assessing the Effects of Models and Data. | Karin de Langis, Michael Fulton, Junaed Sattar |
| 2020 | ICRA | Realtime Multi-Diver Tracking and Re-identification for Underwater Human-Robot Collaboration. | Karin de Langis, Junaed Sattar |