Daehoon Gwak - RankMe

18 papers A* 4Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Not the Example, but the Process: How Self-Generated Examples Enhance LLM Reasoning. CoRR Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, Jaegul Choo
2025	—	`conf`	Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models. ACL (2) Junwoo Park, Hyuck Lee, Dohyun Lee, Daehoon Gwak, Jaegul Choo
2025	J	`jnl`	Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models. CoRR Junwoo Park, Hyuck Lee, Dohyun Lee, Daehoon Gwak, Jaegul Choo
2025	A*	`conf`	Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs. EMNLP Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, Jaegul Choo
2025	J	`jnl`	Reward-Weighted Sampling: Enhancing Non-Autoregressive Characteristics in Masked Diffusion LLMs. CoRR Daehoon Gwak, Minseo Jung, Junwoo Park, Minho Park, ChaeHun Park, Junha Hyung, Jaegul Choo
2025	J	`jnl`	Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes. CoRR Sanghun Jung, Daehoon Gwak, Byron Boots, James Hays
2024	—	`conf`	Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling. EMNLP (Findings) Daehoon Gwak, Junwoo Park, Minho Park, ChaeHun Park, Hyunchan Lee, Edward Choi, Jaegul Choo
2024	J	`jnl`	Forecasting Future International Events: A Reliable Dataset for Text-Based Event Modeling. CoRR Daehoon Gwak, Junwoo Park, Minho Park, ChaeHun Park, Hyunchan Lee, Edward Choi, Jaegul Choo
2024	J	`jnl`	Self-Supervised Contrastive Forecasting. CoRR Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi
2024	A*	`conf`	Self-Supervised Contrastive Learning for Long-term Forecasting. ICLR Junwoo Park, Daehoon Gwak, Jaegul Choo, Edward Choi
2023	J	`jnl`	Enhancing Generalization and Plasticity for Sample Efficient Reinforcement Learning. CoRR Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
2023	A*	`conf`	PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning. NeurIPS Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun
2021	J	`jnl`	Conditional Generation of Periodic Signals with Fourier-Based Decoder. CoRR Jiyoung Lee, Wonjae Kim, Daehoon Gwak, Edward Choi
2021	J	`jnl`	Natural Attribute-based Shift Detection. CoRR Jeonghoon Park, Jimin Hong, Radhika Dua, Daehoon Gwak, Yixuan Li, Jaegul Choo, Edward Choi
2021	A*	`conf`	Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. ICCV Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo
2021	J	`jnl`	Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. CoRR Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo
2020	J	`jnl`	Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment. CoRR Jeonghoon Park, Kyungmin Jo, Daehoon Gwak, Jimin Hong, Jaegul Choo, Edward Choi
2020	J	`jnl`	Neural Ordinary Differential Equations for Intervention Modeling. CoRR Daehoon Gwak, Gyuhyeon Sim, Michael Poli, Stefano Massaroli, Jaegul Choo, Edward Choi