Jinyeong Kim

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upvoted 2 papers about 21 hours ago

Where do Large Vision-Language Models Look at when Answering Questions?

Paper • 2503.13891 • Published 7 days ago • 5

CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners

Paper • 2503.16356 • Published 4 days ago • 14

upvoted 2 papers 3 days ago

M3: 3D-Spatial MultiModal Memory

Paper • 2503.16413 • Published 4 days ago • 14

TULIP: Towards Unified Language-Image Pretraining

Paper • 2503.15485 • Published 5 days ago • 42

upvoted 2 papers 6 days ago

Aligning Multimodal LLM with Human Preference: A Survey

Paper • 2503.14504 • Published 6 days ago • 20

Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models

Paper • 2503.06269 • Published 16 days ago • 4

upvoted 2 papers 7 days ago

DreamRenderer: Taming Multi-Instance Attribute Control in Large-Scale Text-to-Image Models

Paper • 2503.12885 • Published 8 days ago • 41

On the Limitations of Vision-Language Models in Understanding Image Transforms

Paper • 2503.09837 • Published 12 days ago • 10

upvoted 5 papers 10 days ago

TruthPrInt: Mitigating LVLM Object Hallucination Via Latent Truthful-Guided Pre-Intervention

Paper • 2503.10602 • Published 11 days ago • 4

Discovering Influential Neuron Path in Vision Transformers

Paper • 2503.09046 • Published 13 days ago • 6

Charting and Navigating Hugging Face's Model Atlas

Paper • 2503.10633 • Published 11 days ago • 71

Transformers without Normalization

Paper • 2503.10622 • Published 11 days ago • 133

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

Paper • 2503.09573 • Published 12 days ago • 61

upvoted 7 papers 12 days ago

Mixture of Experts Made Intrinsically Interpretable

Paper • 2503.07639 • Published 19 days ago • 8

Gemini Embedding: Generalizable Embeddings from Gemini

Paper • 2503.07891 • Published 14 days ago • 33

What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization

Paper • 2503.06698 • Published 15 days ago • 4

Words or Vision: Do Vision-Language Models Have Blind Faith in Text?

Paper • 2503.02199 • Published 21 days ago • 8

Unleashing the Potential of Large Language Models for Text-to-Image Generation through Autoregressive Representation Alignment

Paper • 2503.07334 • Published 14 days ago • 16

SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models

Paper • 2503.07605 • Published 14 days ago • 65

Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders

Paper • 2503.03601 • Published 19 days ago • 215