| 2026 | EACL | CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures. | Punya Syon Pandey, Yongjin Yang, Jiarui Liu, Zhijing Jin |
| 2025 | ACL | Self-Training Elicits Concise Reasoning in Large Language Models. | Tergel Munkhbat, Namgyu Ho, Seo Hyun Kim, Yongjin Yang, Yujin Kim, Se-Young Yun |
| 2025 | ACL | Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual Understanding. | Haneul Yoo, Yongjin Yang, Hwaran Lee |
| 2025 | EMNLP | Agent-to-Agent Theory of Mind: Testing Interlocutor Awareness among Large Language Models. | Younwoo Choi, Changling Li, Yongjin Yang, Zhijing Jin |
| 2025 | ICLR | Automated Filtering of Human Feedback Data for Aligning Text-to-Image Diffusion Models. | Yongjin Yang, Sihyeon Kim, Hojung Jung, Sangmin Bae, SangMook Kim, Se-Young Yun, Kimin Lee |
| 2025 | NAACL | MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty. | Yongjin Yang, Haneul Yoo, Hwaran Lee |
| 2024 | AAAI | Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning. | Yongjin Yang, Taehyeon Kim, Se-Young Yun |
| 2024 | EMNLP | Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models. | Yongjin Yang, Jongwoo Ko, Se-Young Yun |
| 2023 | CIKM | Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation. | Minchang Kim, Yongjin Yang, Jung Hyun Ryu, Taesup Kim |
| 2023 | EMNLP | HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning. | Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-Young Yun |