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Collections including paper arxiv:2405.09798

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7 • 38
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7 • 19

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Paper • 2406.06525 • Published Jun 10 • 65
Husky: A Unified, Open-Source Language Agent for Multi-Step Reasoning

Paper • 2406.06469 • Published Jun 10 • 24
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

Paper • 2406.04271 • Published Jun 6 • 28
Block Transformer: Global-to-Local Language Modeling for Fast Inference

Paper • 2406.02657 • Published Jun 4 • 37

Many-Shot In-Context Learning in Multimodal Foundation Models

Paper • 2405.09798 • Published May 16 • 26
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting

Paper • 2309.04269 • Published Sep 8, 2023 • 32
Show, Don't Tell: Aligning Language Models with Demonstrated Feedback

Paper • 2406.00888 • Published Jun 2 • 30
To Believe or Not to Believe Your LLM

Paper • 2406.02543 • Published Jun 4 • 32

Enhancing multimodality

Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 126
Many-Shot In-Context Learning in Multimodal Foundation Models

Paper • 2405.09798 • Published May 16 • 26

Many-Shot In-Context Learning in Multimodal Foundation Models

Paper • 2405.09798 • Published May 16 • 26

Many-Shot In-Context Learning in Multimodal Foundation Models

Paper • 2405.09798 • Published May 16 • 26

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training

Paper • 2311.17049 • Published Nov 28, 2023
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Paper • 2405.04434 • Published May 7 • 13
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision

Paper • 2303.17376 • Published Mar 30, 2023
Sigmoid Loss for Language Image Pre-Training

Paper • 2303.15343 • Published Mar 27, 2023 • 4

vision foundation modesl

vision foundation models

ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 52
BRAVE: Broadening the visual encoding of vision-language models

Paper • 2404.07204 • Published Apr 10 • 18
CatLIP: CLIP-level Visual Recognition Accuracy with 2.7x Faster Pre-training on Web-scale Image-Text Data

Paper • 2404.15653 • Published Apr 24 • 26
Chameleon: Mixed-Modal Early-Fusion Foundation Models

Paper • 2405.09818 • Published May 16 • 126

To read... eventually

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14 • 124
Evolutionary Optimization of Model Merging Recipes

Paper • 2403.13187 • Published Mar 19 • 50
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model

Paper • 2402.03766 • Published Feb 6 • 12
LLM Agent Operating System

Paper • 2403.16971 • Published Mar 25 • 65

FAX: Scalable and Differentiable Federated Primitives in JAX

Paper • 2403.07128 • Published Mar 11 • 11
mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding

Paper • 2403.12895 • Published Mar 19 • 30
Measuring Style Similarity in Diffusion Models

Paper • 2404.01292 • Published Apr 1 • 16
JetMoE: Reaching Llama2 Performance with 0.1M Dollars

Paper • 2404.07413 • Published Apr 11 • 36

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