| 2026 | EACL | Don't Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation. | Jiwon Moon, Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung |
| 2025 | ACL | LLMs can be easily Confused by Instructional Distractions. | Yerin Hwang, Yongil Kim, Jahyun Koo, Taegwan Kang, Hyunkyung Bae, Kyomin Jung |
| 2025 | EMNLP | Can You Trick the Grader? Adversarial Persuasion of LLM Judges. | Yerin Hwang, Dongryeol Lee, Taegwan Kang, Yongil Kim, Kyomin Jung |
| 2025 | EMNLP | Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation. | Yerin Hwang, Dongryeol Lee, Kyungmin Min, Taegwan Kang, Yongil Kim, Kyomin Jung |
| 2025 | NAACL | SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models. | Jahyun Koo, Yerin Hwang, Yongil Kim, Taegwan Kang, Hyunkyung Bae, Kyomin Jung |
| 2024 | ACL | Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination. | Nakyeong Yang, Taegwan Kang, Stanley Jungkyu Choi, Honglak Lee, Kyomin Jung |
| 2022 | ICASSP | Deriving Explainable Discriminative Attributes Using Confusion About Counterfactual Class. | Nakyeong Yang, Taegwan Kang, Kyomin Jung |
| 2021 | CIKM | RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction. | Taegwan Kang, Minwoo Lee, Nakyeong Yang, Kyomin Jung |
| 2021 | SIGIR | Entangled Bidirectional Encoder to Autoregressive Decoder for Sequential Recommendation. | Taegwan Kang, Hwanhee Lee, Byeongjin Choe, Kyomin Jung |