Saehyung Lee
13 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐣 Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(5)
🤝
Dynamic Duo
(12)
💎
Century Club
(13)
🔥
Unstoppable
(6)
Conferences
ICLR (3)
ICML (3)
NIPS (2)
ACL (1)
CVPR (1)
JMLR (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
adversarial training
(2)
large language model
(2)
out-of-distribution detection
(2)
adversarial robustness
(1)
chain-of-thought reasoning
(1)
multimodal learning
(1)
question answering
(1)
retrieval-augmented generation
(1)
cross-modal transfer
(1)
question generation
(1)
label smoothing
(1)
distribution shift
(1)
vision language model
(1)
adversarial example
(1)
vision-language model
(1)
confidence calibration
(1)
data augmentation
(1)
chain-of-thought prompting
(1)
multi-hop reasoning
(1)
continual learning
(1)
Papers
Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage
ICML 2025
Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context
NAACL 2025
Regularizing Hard Examples Improves Adversarial Robustness
JMLR 2025
Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models
ICML 2025
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
ICLR 2024
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
NIPS 2024
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach
ACL 2024
DAFA: Distance-Aware Fair Adversarial Training
ICLR 2024
Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training
WACV 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection
NIPS 2023
Dataset Condensation with Contrastive Signals
ICML 2022
Removing Undesirable Feature Contributions Using Out-of-Distribution Data
ICLR 2021
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization
CVPR 2020