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
LongProLIP: A Probabilistic Vision-Language Model with Long Context Text
arXiv 2025
Token Bottleneck: One Token to Remember Dynamics
arXiv 2025
Dr.LLM: Dynamic Layer Routing in LLMs
arXiv 2025
Rotary Position Embedding for Vision Transformer
arXiv 2024
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
arXiv 2024
Calibrating Large Language Models Using Their Generations Only
arXiv 2024
HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts
arXiv 2024
TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
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
What Do Self-Supervised Vision Transformers Learn?
arXiv 2023
Language-only Efficient Training of Zero-shot Composed Image Retrieval
arXiv 2023
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
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
Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data
neural-relation-graph-a-unified-framework-for
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
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
arXiv 2023
Match me if you can: Semi-Supervised Semantic Correspondence Learning with Unpaired Images
arXiv 2023
Dataset Condensation via Efficient Synthetic-Data Parameterization
arXiv 2022
Dataset Condensation with Contrastive Signals
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
Rethinking Channel Dimensions for Efficient Model Design
CVPR 2021 1
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
adamp-slowing-down-the-slowdown-for-momentum
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis
what-is-wrong-with-scene-text-recognition-1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
cutmix-regularization-strategy-to-train-1
Learning De-biased Representations with Biased Representations
ICML 2020 1
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
arXiv 2019
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