| 2026 | ACL | COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs. | Dasol Choi, DongGeon Lee, Brigitta Jesica Kartono, Helena Berndt, Taeyoun Kwon, Joonwon Jang, Haon Park, Hwanjo Yu, Minsuk Kahng |
| 2025 | ACL | Verbosity-Aware Rationale Reduction: Sentence-Level Rationale Reduction for Efficient and Effective Reasoning. | Joonwon Jang, Jaehee Kim, Wonbin Kweon, Seonghyeon Lee, Hwanjo Yu |
| 2025 | EMNLP | How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code. | Seonghyeon Lee, Heejae Chon, Joonwon Jang, Dongha Lee, Hwanjo Yu |
| 2025 | EMNLP | Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study. | DongGeon Lee, Joonwon Jang, Jihae Jeong, Hwanjo Yu |
| 2024 | COLING | Hierarchical Graph Convolutional Network Approach for Detecting Low-Quality Documents. | Jaeyoung Lee, Joonwon Jang, Misuk Kim |
| 2024 | EMNLP | Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation. | Seonghyeon Lee, Suyeon Kim, Joonwon Jang, Heejae Chon, Dongha Lee, Hwanjo Yu |
| 2024 | NAACL | Rectifying Demonstration Shortcut in In-Context Learning. | Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu |
| 2023 | ACL | Fixed Input Parameterization for Efficient Prompting. | Eunbi Choi, Yongrae Jo, Joel Jang, Joonwon Jang, Minjoon Seo |
| 2023 | EACL | Headline Token-based Discriminative Learning for Subheading Generation in News Article. | Joonwon Jang, Misuk Kim |