← Authors

Kyungjae Lee

40 papers · 2018–2025 · 15 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (15) πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (11) πŸ—ΊοΈ Taxonomy Completionist (76) 🧭 Keyword Pioneer πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (13) πŸ”¬ Deep Specialist (10) πŸ‘₯ Mega-Team (32) πŸ—ƒοΈ Keyword Collector (176) ⚑ Prolific Year (12) πŸ’Ž Century Club (40) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

NIPS (9) ACL (5) EMNLP (5) ICML (4) NAACL (3) AAAI (2) CVPR (2) EACL (2) IJCNLP (2) ECCV (1) ICLR (1) IJCAI (1) INTERSPEECH (1) RSS (1) WACV (1)

Top co-authors

Seung-won Hwang (13) Moontae Lee (8) Songhwai Oh (6) Sungbin Lim (5) Jinyoung Yeo (5) Sunghyun Park (5) Dohyeong Kim (4) Sungjoon Choi (4) Taehyun Cho (4) Sang-eun Han (4)

Keywords

question answering (6) large language model (6) language model (4) reinforcement learning (4) open-domain question answering (3) weakly supervised learning (3) information retrieval (3) stochastic differential equation (2) low-resource language (2) counterfactual reasoning (2) dense retrieval (2) reinforcement learning from human feedback (2) regret bound (2) representation learning (2) language model evaluation (2) reading comprehension (2) text classification (2) text generation (2) policy optimization (2) multilingual nlp (2)

Papers

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