[C7] Beyond Helpfulness and Harmlessness: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning [code]

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