Byung-Jun Lee
21 papers · 2017–2026 · 11 conferences · across top CS/AI conferences
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AAAI (3)
EMNLP (3)
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AACL (1)
AISTATS (1)
CONLL (1)
CVPR (1)
IJCNLP (1)
Top co-authors
Keywords
policy optimization
(2)
offline reinforcement learning
(2)
information quantification
(2)
variational inference
(2)
stationary distribution
(2)
translation latency
(2)
simultaneous translation
(2)
neural machine translation
(1)
image generation
(1)
metric learning
(1)
preference learning
(1)
direct preference optimization
(1)
function approximation
(1)
response generation
(1)
model alignment
(1)
bayesian inference
(1)
markov decision process
(1)
neural network optimization
(1)
transfer learning
(1)
text-to-image generation
(1)
Papers
uCLIP: Parameter-Efficient Multilingual Extension of Vision-Language Models with Unpaired Data
AAAI 2026
SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger
ACL 2026
Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training
CVPR 2025
K/DA: Automated Data Generation Pipeline for Detoxifying Implicitly Offensive Language in Korean
ACL 2025
Iterative Prompt Refinement for Safer Text-to-Image Generation
EMNLP 2025
Rethinking DPO: The Role of Rejected Responses in Preference Misalignment
EMNLP 2025
NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations
ICML 2025
Test-Time Adaptation for Online Vision-Language Navigation with Feedback-based Reinforcement Learning
ICML 2025
Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction
NIPS 2024
ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making
NIPS 2024
Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization
AAAI 2024
Improving Neural Machine Translation with Offline Evaluations
AACL 2023
Quantifying Information of Tokens for Simple and Flexible Simultaneous Machine Translation
CONLL 2023
Quantifying Information of Tokens for Simple and Flexible Simultaneous Machine Translation
EMNLP 2023
Improving Neural Machine Translation with Offline Evaluations
IJCNLP 2023
Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions
NIPS 2022
Representation Balancing Offline Model-based Reinforcement Learning
ICLR 2021
Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
ICLR 2021
Residual Neural Processes
AAAI 2020
Reinforcement Learning for Control with Multiple Frequencies
NIPS 2020
Hierarchically-partitioned Gaussian Process Approximation
AISTATS 2017