Jungseul Ok

40 papers · 2016–2026 · 14 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🌍 Conference Polyglot (13) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (10)

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (13) 🏃 Academic Marathon (10) 🗃️ Keyword Collector (155) 🚀 Conference Pioneer 💎 Century Club (37) 🔥 Unstoppable (6) 📈 Trend Setter ⚡ Prolific Year (8)

Conferences

ACL (7) ICML (6) EMNLP (5) NIPS (4) AISTATS (3) ECCV (3) NAACL (3) CVPR (2) ICCV (2) ALT (1) EACL (1) IJCAI (1) INTERSPEECH (1) WACV (1)

Top co-authors

Yunsu Kim (8) Suha Kwak (7) Gary Lee (7) Heejin Do (6) Hoyoung Kim (5) Sangwon Ryu (5) Dongwoo Kim (5) SEHYUN HWANG (4) Sungjae Lee (4) Hyejin Park (3)

Keywords

large language model (7) reinforcement learning (4) reasoning path (2) image editing (2) acquisition function (2) user preference (2) sample complexity (2) speech recognition (2) semantic segmentation (2) active learning (2) federated learning (2) regret bound (2) language model (2) heterogeneous datum (2) unsupervised learning (2) information retrieval (2) test-time adaptation (2) bayesian inference (2) belief propagation (2) multi-armed bandit (2)

Papers

PaT: Planning-after-Trial for Efficient Test-Time Code Generation ACL 2026 Adaptive Planning for Multi-Attribute Controllable Summarization with Monte Carlo Tree Search ACL 2026 Exploring Iterative Controllable Summarization with Large Language Models EACL 2026 Edge-Aware Image Manipulation via Diffusion Models with a Novel Structure-Preservation Loss WACV 2026 DeRAGEC: Denoising Named Entity Candidates with Synthetic Rationale for ASR Error Correction ACL 2025 Retrieval-Augmented Generation with Estimation of Source Reliability EMNLP 2025 Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients ACL 2025 Semantic Exploration with Adaptive Gating for Efficient Problem Solving with Language Models ACL 2025 Comparison-based Active Preference Learning for Multi-dimensional Personalization ACL 2025 CoPL: Collaborative Preference Learning for Personalizing LLMs EMNLP 2025 MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries EMNLP 2025 Self-Training Large Language Models with Confident Reasoning EMNLP 2025 Efficient Latent Semantic Clustering for Scaling Test-Time Computation of LLMs EMNLP 2025 Addressing Text Embedding Leakage in Diffusion-based Image Editing ICCV 2025 Enhancing Ligand Validity and Affinity in Structure-Based Drug Design with Multi-Reward Optimization ICML 2025 DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition NAACL 2025 Revisiting Early Detection of Sexual Predators via Turn-level Optimization NAACL 2025 Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation NAACL 2025 MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory ECCV 2024 Key-Element-Informed sLLM Tuning for Document Summarization INTERSPEECH 2024 Active Label Correction for Semantic Segmentation with Foundation Models ICML 2024 Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization ICML 2024 Breadth-First Exploration on Adaptive Grid for Reinforcement Learning ICML 2024 Multi-Dimensional Optimization for Text Summarization via Reinforcement Learning ACL 2024 MedBN: Robust Test-Time Adaptation against Malicious Test Samples CVPR 2024 CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment CVPR 2024 Adaptive Superpixel for Active Learning in Semantic Segmentation ICCV 2023 Leveraging Proxy of Training Data for Test-Time Adaptation ICML 2023 Active Learning for Semantic Segmentation with Multi-class Label Query NIPS 2023 Multi-armed Bandit Algorithm against Strategic Replication AISTATS 2022 Robust Deep Learning from Crowds with Belief Propagation AISTATS 2022 Combating Label Distribution Shift for Active Domain Adaptation ECCV 2022 Towards Sequence-Level Training for Visual Tracking ECCV 2022 Efficient Scheduling of Data Augmentation for Deep Reinforcement Learning NIPS 2022 Gradient Inversion with Generative Image Prior NIPS 2021 Iterative Bayesian Learning for Crowdsourced Regression AISTATS 2019 Exploration in Structured Reinforcement Learning NIPS 2018 Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications IJCAI 2018 Collaborative Clustering: Sample Complexity and Efficient Algorithms ALT 2017 Optimality of Belief Propagation for Crowdsourced Classification ICML 2016