Collection by
Jun 27, 2024
Jun 27, 2024
Collections
Discover the best community collections!
Collections including paper arxiv:2406.17770
Collection by
22 days ago
22 days ago
-
VoCo-LLaMA: Towards Vision Compression with Large Language Models
Paper • 2406.12275 • Published • 29 -
TroL: Traversal of Layers for Large Language and Vision Models
Paper • 2406.12246 • Published • 34 -
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
Paper • 2406.15334 • Published • 9 -
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning
Paper • 2406.12742 • Published • 14
Collection by
Oct 4, 2024
Oct 4, 2024
-
GLaMM: Pixel Grounding Large Multimodal Model
Paper • 2311.03356 • Published • 33 -
SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models
Paper • 2311.07575 • Published • 13 -
CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding
Paper • 2311.03354 • Published • 4 -
Language-Informed Visual Concept Learning
Paper • 2312.03587 • Published • 5
Collection by
Aug 13, 2024
Aug 13, 2024
-
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation
Paper • 2404.19752 • Published • 22 -
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Paper • 2404.16821 • Published • 55 -
MoAI: Mixture of All Intelligence for Large Language and Vision Models
Paper • 2403.07508 • Published • 74 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 125
Collection by
1 day ago
1 day ago
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 25 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 12 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 40 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 20