[P2] Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?  [code]

Hyeong Kyu Choi, Xiaojin Zhu, Yixuan Li
arXiv:2508.17536, 2025.

[C9]   Mitigating Selection Bias with Node Pruning and Auxiliary Options

Hyeong Kyu Choi, Weijie Xu, Chi Xue, Stephanie Eckman, Chandan K. Reddy
Annual Meeting of the Association for Computational Linguistics (ACL Main), 2025.

[C8]  How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence [code]

Hyeong Kyu Choi*, Maxim Khanov*, Hongxin Wei, Yixuan Li
International Conference on Machine Learning (ICML), 2025

[W1]  Safety-Aware Fine-Tuning of Large Language Models

Hyeong Kyu Choi, Xuefeng Du, Yixuan Li
NeurIPS workshop on Safe Generative AI, 2024

[C7] PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning [code] [video]

Hyeong Kyu Choi, Yixuan Li
International Conference on Machine Learning (ICML), 2024

[C6] NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA [code] [video] [youtube]

Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim
Advances in Neural Information Processing Systems (NeurIPS), 2023

[J1] Recurrent DETR: Transformer-based Object Detection for Crowded Scenes

Hyeong Kyu Choi, Chongkeun Paik, Hyunwoo Ko, Minchul Park, Hyunwoo J. Kim
IEEE Access, 2023

[C5] MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models [code]

Dohwan Ko*, Joonmyung Choi*, Hyeong Kyu Choi, Kyoung-Woon On, Byungseok Roh, Hyunwoo J. Kim
Conference on Computer Vision and Pattern Recognition (CVPR), 2023

[C4]  Relation-aware Language-Graph Transformer for Question Answering  [code]

Jinyoung Park*, Hyeong Kyu Choi*, Juyeon Ko*, Hyeonjin Park, Ji-Hoon Kim, Jisu Jeong, Kyungmin Kim, Hyunwoo J. Kim
Association for the Advancement of Artificial Intelligence (AAAI), 2023

[C3] TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers [code] [video] [youtube1] [youtube2]

Hyeong Kyu Choi*, Joonmyung Choi*, Hyunwoo J. Kim
Advances in Neural Information Processing Systems (NeurIPS), 2022

talks: Korean Computer Vision Society (KCVS) 2023 Workshop

[C2]  Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection  [code]

Ji Hwan Park, Seung Jun Lee, Hwan Heo, Hyeong Kyu Choi, Hyunwoo J. Kim
Conference on Computer Vision and Pattern Recognition (CVPR), 2022

[C1]  Economic Data Augmentation with Variational Autoencoder  [code] [poster] [video]

Hyeong Kyu Choi, Raehyun Kim, Jaewoo Kang
Korea Computer Congress, 2020