Kyungjae Lee

INSIGHT Bench: Towards Grounded IN-SItu Guidance for Robotic ManipulaTion CVPR 2026 Assessing LLM Reasoning Steps via Principal Knowledge Grounding EMNLP 2025 Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation ICML 2025 D2FP: Learning Implicit Prior for Human Parsing WACV 2025 Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation NAACL 2025 One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL ACL 2025 Policy-labeled Preference Learning: Is Preference Enough for RLHF? ICML 2025 The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models NAACL 2025 Evidentiality-aware Retrieval for Overcoming Abstractiveness in Open-Domain Question Answering EACL 2024 KU-DMIS at EHRSQL 2024 : Generating SQL query via question templatization in EHR NAACL 2024 Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models EMNLP 2024 Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NeurIPS 2024 Exploring the Benefits of Training Expert Language Models over Instruction Tuning ICML 2023 Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning CVPR 2023 On Complementarity Objectives for Hybrid Retrieval ACL 2023 On Monotonic Aggregation for Open-domain QA Interspeech 2023 On Sample-Efficient Code Generation EMNLP 2023 Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion NeurIPS 2023 PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering EMNLP 2023 QASA: Advanced Question Answering on Scientific Articles ICML 2023 Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces NeurIPS 2023 Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback NeurIPS 2023 Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints NeurIPS 2023 When to Read Documents or QA History: On Unified and Selective Open-domain QA ACL 2023 Domain Generalization by Mutual-Information Regularization with Pre-trained Models ECCV 2022 Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data ICLR 2022 Plug-and-Play Adaptation for Continuously-updated QA ACL 2022 Riemannian Neural SDE: Learning Stochastic Representations on Manifolds NeurIPS 2022 Query Generation for Multimodal Documents EACL 2021 Robustifying Multi-hop QA through Pseudo-Evidentiality Training ACL 2021 SWAD: Domain Generalization by Seeking Flat Minima NeurIPS 2021 Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots RSS 2020 Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds AAAI 2020 Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards NeurIPS 2020 Segment-Then-Rank: Non-Factoid Question Answering on Instructional Videos AAAI 2020 Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks CVPR 2020 Learning with Limited Data for Multilingual Reading Comprehension EMNLP 2019 Maximum Causal Tsallis Entropy Imitation Learning NeurIPS 2018 Translations as Additional Contexts for Sentence Classification IJCAI 2018