Hyeong Kyu Choi

25 papers A* 7Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ModeX: Evaluator-Free Best-of-N Selection for Open-Ended Generation. CoRR Hyeong Kyu Choi, Sharon Li
2026	J	`jnl`	Thinking Makes LLM Agents Introverted: How Mandatory Thinking Can Backfire in User-Engaged Agents. CoRR Jiatong Li, Changdae Oh, Hyeong Kyu Choi, Jindong Wang, Sharon Li
2026	J	`jnl`	VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation. CoRR Seongheon Park, Changdae Oh, Hyeong Kyu Choi, Xuefeng Du, Sharon Li
2025	J	`jnl`	Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models? CoRR Hyeong Kyu Choi, Xiaojin Zhu, Yixuan Li
2025	J	`jnl`	Detecting Distillation Data from Reasoning Models. CoRR Hengxiang Zhang, Hyeong Kyu Choi, Sharon Li, Hongxin Wei
2025	A*	`conf`	How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence. ICML Hyeong Kyu Choi, Maxim Khanov, Hongxin Wei, Yixuan Li
2025	J	`jnl`	How Contaminated Is Your Benchmark? Quantifying Dataset Leakage in Large Language Models with Kernel Divergence. CoRR Hyeong Kyu Choi, Maxim Khanov, Hongxin Wei, Yixuan Li
2025	J	`jnl`	Measuring and Mitigating Identity Bias in Multi-Agent Debate via Anonymization. CoRR Hyeong Kyu Choi, Xiaojin Zhu, Sharon Li
2025	—	`conf`	Mitigating Selection Bias with Node Pruning and Auxiliary Options. ACL (1) Hyeong Kyu Choi, Weijie Xu, Chi Xue, Stephanie Eckman, Chandan K. Reddy
2024	J	`jnl`	Mitigating Selection Bias with Node Pruning and Auxiliary Options. CoRR Hyeong Kyu Choi, Weijie Xu, Chi Xue, Stephanie Eckman, Chandan K. Reddy
2024	A*	`conf`	PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning. ICML Hyeong Kyu Choi, Yixuan Li
2024	J	`jnl`	PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context Learning. CoRR Hyeong Kyu Choi, Yixuan Li
2024	J	`jnl`	Safety-Aware Fine-Tuning of Large Language Models. CoRR Hyeong Kyu Choi, Xuefeng Du, Yixuan Li
2023	A*	`conf`	MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models. CVPR Dohwan Ko, Joonmyung Choi, Hyeong Kyu Choi, Kyoung-Woon On, Byungseok Roh, Hyunwoo J. Kim
2023	J	`jnl`	MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models. CoRR Dohwan Ko, Joonmyung Choi, Hyeong Kyu Choi, Kyoung-Woon On, Byungseok Roh, Hyunwoo J. Kim
2023	A*	`conf`	NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA. NeurIPS Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim
2023	J	`jnl`	NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA. CoRR Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo J. Kim
2023	J	`jnl`	Recurrent DETR: Transformer-Based Object Detection for Crowded Scenes. IEEE Access Hyeong Kyu Choi, Chong Keun Paik, Hyun Woo Ko, Min-Chul Park, Hyunwoo J. Kim
2023	A*	`conf`	Relation-Aware Language-Graph Transformer for Question Answering. AAAI Jinyoung Park, Hyeong Kyu Choi, Juyeon Ko, Hyeon-Jin Park, Ji-Hoon Kim, Jisu Jeong, Kyung-Min Kim, Hyunwoo J. Kim
2022	A*	`conf`	Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection. CVPR Jihwan Park, Seungjun Lee, Hwan Heo, Hyeong Kyu Choi, Hyunwoo J. Kim
2022	J	`jnl`	Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection. CoRR Jihwan Park, Seungjun Lee, Hwan Heo, Hyeong Kyu Choi, Hyunwoo J. Kim
2022	J	`jnl`	Relation-aware Language-Graph Transformer for Question Answering. CoRR Jinyoung Park, Hyeong Kyu Choi, Juyeon Ko, Hyeon-Jin Park, Ji-Hoon Kim, Jisu Jeong, Kyung-Min Kim, Hyunwoo J. Kim
2022	A*	`conf`	TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers. NeurIPS Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J. Kim
2022	J	`jnl`	TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers. CoRR Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J. Kim
2018	J	`jnl`	Stock Price Correlation Coefficient Prediction with ARIMA-LSTM Hybrid Model. CoRR Hyeong Kyu Choi