Byung-Kwan Lee
11 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver
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Topic Evolution
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Keyword Champion
(3)
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(50)
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Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(9)
Core AI Β· Artificial Intelligence
(9)
Machine Learning
(8)
Deep Learning
(7)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(5)
Core Methods
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Application Areas
(2)
Models
(2)
Reinforcement Learning
(1)
Analysis
(1)
Architectures
(1)
Core AI Β· Computer Vision
(1)
Keywords
vision-language model
(6)
model compression
(4)
adversarial robustness
(3)
visual instruction tuning
(3)
adversarial example
(2)
large language model
(2)
causal inference
(2)
knowledge distillation
(2)
network pruning
(1)
conversational ai
(1)
offline reinforcement learning
(1)
multimodal learning
(1)
in-context learning
(1)
adversarial training
(1)
language model
(1)
benchmark evaluation
(1)
state space model
(1)
instruction tuning
(1)
model robustness
(1)
efficient computing
(1)
Papers
Masking Teacher and Reinforcing Student for Distilling Vision-Language Models
CVPR 2026
MultiVerse: A Multi-Turn Conversation Benchmark for Evaluating Large Vision and Language Models
ICCV 2025
VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models
CVPR 2025
CoLLaVO: Crayon Large Language and Vision mOdel
ACL 2024
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
NeurIPS 2024
MoAI: Mixture of All Intelligence for Large Language and Vision Models
ECCV 2024
TroL: Traversal of Layers for Large Language and Vision Models
EMNLP 2024
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression
CVPR 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning
ICCV 2023
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network
CVPR 2022
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
NeurIPS 2021