| 2026 | ACL | ModeX: Evaluator-Free Best-of-N Selection for Open-Ended Generation. | Hyeong Kyu Choi, Sharon Li |
| 2026 | ACL | When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning. | Hyeong Kyu Choi, Xiaojin (Jerry) Zhu, Sharon Li |
| 2026 | ACL | VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation. | Seongheon Park, Changdae Oh, Hyeong Kyu Choi, Sean Du, Sharon Li |
| 2025 | ACL | Mitigating Selection Bias with Node Pruning and Auxiliary Options. | Hyeong Kyu Choi, Weijie Xu, Chi Xue, Stephanie Eckman, Chandan K. Reddy |
| 2025 | ICML | How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence. | Hyeong Kyu Choi, Maxim Khanov, Hongxin Wei, Yixuan Li |
| 2024 | ICML | PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning. | Hyeong Kyu Choi, Yixuan Li |
| 2023 | AAAI | Relation-Aware Language-Graph Transformer for Question Answering. | Jinyoung Park, Hyeong Kyu Choi, Juyeon Ko, Hyeon-Jin Park, Ji-Hoon Kim, Jisu Jeong, Kyung-Min Kim, Hyunwoo J. Kim |
| 2023 | CVPR | MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models. | Dohwan Ko, Joonmyung Choi, Hyeong Kyu Choi, Kyoung-Woon On, Byungseok Roh, Hyunwoo J. Kim |
| 2022 | CVPR | Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection. | Jihwan Park, Seungjun Lee, Hwan Heo, Hyeong Kyu Choi, Hyunwoo J. Kim |