Taesup Kim
25 papers · 2017–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (14) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge π Academic Marathon (8)
π
Conference Polyglot
(14)
π
Academic Marathon
(8)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(112)
π
Century Club
(22)
π₯
Unstoppable
(5)
π
Trend Setter
π
Conference Pioneer
Conferences
NIPS (6)
ACL (3)
AAAI (2)
CVPR (2)
EMNLP (2)
ICCV (2)
AACL (1)
ECCV (1)
ICLR (1)
IJCNLP (1)
INTERSPEECH (1)
JMLR (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
large language model
(4)
low-resource language
(3)
few-shot learning
(3)
domain adaptation
(3)
variational inference
(2)
semantic segmentation
(2)
cross-lingual transfer
(2)
adapter-based tuning
(2)
vision-language model
(2)
graph neural network
(2)
object detection
(2)
named entity recognition
(2)
abstractive summarization
(2)
transfer learning
(1)
domain generalization
(1)
zero-shot learning
(1)
deep reinforcement learning
(1)
conformal prediction
(1)
uncertainty quantification
(1)
image generation
(1)
Papers
Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks
AAAI 2026
EpiCaR: Knowing What You Donβt Know Matters for Better Reasoning in LLMs
ACL 2026
Evaluating Structure-Aware Retrieval and Safety in Statute-Centric Legal QA
ACL 2026
Assessing Socio-Cultural Alignment and Technical Safety of Sovereign LLMs
EMNLP 2025
Retaining and Enhancing Pre-Trained Knowledge in Vision-Language Models with Prompt Ensembling
WACV 2025
βWell, Keep Thinkingβ: Enhancing LLM Reasoning with Adaptive Injection Decoding
ACL 2025
ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction
ICCV 2025
Model-based Preference Optimization in Abstractive Summarization without Human Feedback
EMNLP 2024
Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models
NIPS 2024
Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models
ECCV 2024
Mitigating Hallucination in Abstractive Summarization with Domain-Conditional Mutual Information
NAACL 2024
Flexible Model Aggregation for Quantile Regression
JMLR 2023
Meta-Learning With a Geometry-Adaptive Preconditioner
CVPR 2023
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning
ICCV 2023
FAD-X: Fusing Adapters for Cross-lingual Transfer to Low-Resource Languages
IJCNLP 2022
Faster Deep Reinforcement Learning with Slower Online Network
NIPS 2022
FAD-X: Fusing Adapters for Cross-lingual Transfer to Low-Resource Languages
AACL 2022
Adaptive Interest for Emphatic Reinforcement Learning
NIPS 2022
Visual Concept Reasoning Networks
AAAI 2021
Variational Temporal Abstraction
NIPS 2019
Fast AutoAugment
NIPS 2019
Edge-Labeling Graph Neural Network for Few-Shot Learning
CVPR 2019
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
ICLR 2018
Bayesian Model-Agnostic Meta-Learning
NIPS 2018
Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition
INTERSPEECH 2017