Sangdoo Yun
- Papers
- 43
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Authored papers
43Grounding World Simulation Models in a Real-World Metropolis
arXiv 2026
Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction
arXiv 2026
MEME: Multi-entity & Evolving Memory Evaluation
arXiv 2026
Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models
arXiv 2026
KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
arXiv 2025
Aligned Novel View Image and Geometry Synthesis via Cross-modal Attention Instillation
arXiv 2025
Leaky Thoughts: Large Reasoning Models Are Not Private Thinkers
arXiv 2025
Token Bottleneck: One Token to Remember Dynamics
arXiv 2025
Dr.LLM: Dynamic Layer Routing in LLMs
arXiv 2025
LongProLIP: A Probabilistic Vision-Language Model with Long Context Text
arXiv 2025
Rotary Position Embedding for Vision Transformer
arXiv 2024
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
arXiv 2024
Model Stock: All we need is just a few fine-tuned models
arXiv 2024
Large-Scale Targeted Cause Discovery with Data-Driven Learning
arXiv 2024
TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models
arXiv 2024
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models
arXiv 2024
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
arXiv 2024
Calibrating Large Language Models Using Their Generations Only
arXiv 2024
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts
arXiv 2024
What Do Self-Supervised Vision Transformers Learn?
arXiv 2023
Language-only Efficient Training of Zero-shot Composed Image Retrieval
arXiv 2023
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models
arXiv 2023
Masking meets Supervision: A Strong Learning Alliance
CVPR 2025 1
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
arXiv 2023
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
arXiv 2023
Compressed Context Memory For Online Language Model Interaction
arXiv 2023
Who Wrote this Code? Watermarking for Code Generation
arXiv 2023
Neglected Free Lunch -- Learning Image Classifiers Using Annotation Byproducts
arXiv 2023
MPCHAT: Towards Multimodal Persona-Grounded Conversation
arXiv 2023
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data
neural-relation-graph-a-unified-framework-for
Match me if you can: Semi-Supervised Semantic Correspondence Learning with Unpaired Images
arXiv 2023
Dataset Condensation with Contrastive Signals
arXiv 2022
Dataset Condensation via Efficient Synthetic-Data Parameterization
arXiv 2022
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data
CVPR 2022 1
OCR-free Document Understanding Transformer
arXiv 2021
Rethinking Spatial Dimensions of Vision Transformers
ICCV 2021 10
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
CVPR 2021 1
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
adamp-slowing-down-the-slowdown-for-momentum
Rethinking Channel Dimensions for Efficient Model Design
CVPR 2021 1
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
what-is-wrong-with-scene-text-recognition-1
Learning De-biased Representations with Biased Representations
ICML 2020 1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
cutmix-regularization-strategy-to-train-1
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
arXiv 2019
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