Stock Price Correlation Coefficient Prediction with ARIMA-LSTM Hybrid Model. - Hyeong Kyu Choi (CoRR, 2018)

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 (CVPR, 2022)

TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers. - Hyeong Kyu Choi; Joonmyung Choi; Hyunwoo J. Kim (NeurIPS, 2022)

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 (AAAI, 2023)

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 (CVPR, 2023)

NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA. - Hyeong Kyu Choi; Seunghun Lee 001; Jaewon Chu; Hyunwoo J. Kim (NeurIPS, 2023)

Recurrent DETR: Transformer-Based Object Detection for Crowded Scenes. - Hyeong Kyu Choi; Chong Keun Paik; Hyun Woo Ko; Min-Chul Park; Hyunwoo J. Kim (IEEE Access, 2023)

PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning. - Hyeong Kyu Choi; Yixuan Li (ICML, 2024)

Safety-Aware Fine-Tuning of Large Language Models. - Hyeong Kyu Choi; Xuefeng Du; Yixuan Li 001 (CoRR, 2024)

Mitigating Selection Bias with Node Pruning and Auxiliary Options. - Hyeong Kyu Choi; Weijie Xu; Chi Xue; Stephanie Eckman; Chandan K. Reddy (ACL (1), 2025)

How Contaminated Is Your Benchmark? Quantifying Dataset Leakage in Large Language Models with Kernel Divergence. - Hyeong Kyu Choi; Maxim Khanov; Hongxin Wei; Yixuan Li 001 (CoRR, 2025)