Jinyeong Kim

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upvoted 3 papers 3 days ago

CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning

Paper • 2504.13820 • Published 8 days ago • 16

It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization

Paper • 2504.13173 • Published 9 days ago • 17

Describe Anything: Detailed Localized Image and Video Captioning

Paper • 2504.16072 • Published 4 days ago • 49

upvoted a paper 4 days ago

NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation

Paper • 2504.13055 • Published 9 days ago • 18

upvoted 2 papers 7 days ago

Perception Encoder: The best visual embeddings are not at the output of the network

Paper • 2504.13181 • Published 9 days ago • 31

Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling

Paper • 2504.13169 • Published 9 days ago • 39

upvoted 4 papers 11 days ago

FUSION: Fully Integration of Vision-Language Representations for Deep Cross-Modal Understanding

Paper • 2504.09925 • Published 12 days ago • 38

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published 12 days ago • 241

Towards Visual Text Grounding of Multimodal Large Language Model

Paper • 2504.04974 • Published 19 days ago • 16

Scaling Laws for Native Multimodal Models Scaling Laws for Native Multimodal Models

Paper • 2504.07951 • Published 16 days ago • 27

upvoted 2 papers 16 days ago

Self-Steering Language Models

Paper • 2504.07081 • Published 17 days ago • 18

DDT: Decoupled Diffusion Transformer

Paper • 2504.05741 • Published 18 days ago • 73

upvoted 6 papers 18 days ago

Clinical ModernBERT: An efficient and long context encoder for biomedical text

Paper • 2504.03964 • Published 22 days ago • 5

Concept Lancet: Image Editing with Compositional Representation Transplant

Paper • 2504.02828 • Published 23 days ago • 17

SmolVLM: Redefining small and efficient multimodal models

Paper • 2504.05299 • Published 19 days ago • 172

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Paper • 2504.02821 • Published 23 days ago • 10

ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers

Paper • 2504.00502 • Published 25 days ago • 21

Medical large language models are easily distracted

Paper • 2504.01201 • Published 25 days ago • 3

upvoted 2 papers 23 days ago

Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks

Paper • 2504.01308 • Published 24 days ago • 13

PaperBench: Evaluating AI's Ability to Replicate AI Research

Paper • 2504.01848 • Published 24 days ago • 36