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Collections including paper arxiv:2408.08872

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

Paper • 2402.04252 • Published Feb 6, 2024 • 26
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 13
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 43
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 22

visual macromodel

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16, 2024 • 99

sentence-transformers/all-mpnet-base-v2

Sentence Similarity • Updated 8 days ago • 34.6M • • 1.01k
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Paper • 1910.10683 • Published Oct 23, 2019 • 11
google-t5/t5-base

Translation • Updated Feb 14, 2024 • 3.26M • • 676
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 55

Multi-Modal Model

What matters when building vision-language models?

Paper • 2405.02246 • Published May 3, 2024 • 102
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data

Paper • 2406.18790 • Published Jun 26, 2024 • 34
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 126
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22, 2024 • 51

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Paper • 2408.10188 • Published Aug 19, 2024 • 52
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16, 2024 • 99
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 126
Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Paper • 2408.12528 • Published Aug 22, 2024 • 51

small-multimodal

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16, 2024 • 99

Multimodal Language Model

What does matter besides data receipt when training a Multimodal language model?

LLaVA-OneVision: Easy Visual Task Transfer

Paper • 2408.03326 • Published Aug 6, 2024 • 60
VILA^2: VILA Augmented VILA

Paper • 2407.17453 • Published Jul 24, 2024 • 40
PaliGemma: A versatile 3B VLM for transfer

Paper • 2407.07726 • Published Jul 10, 2024 • 69
openbmb/MiniCPM-V-2_6

Image-Text-to-Text • Updated Jan 15 • 74.6k • 953

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16, 2024 • 99
MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models

Paper • 2410.17637 • Published Oct 23, 2024 • 35

Papers - Multimodal - Blip-3

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16, 2024 • 99

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Paper • 2408.08872 • Published Aug 16, 2024 • 99
Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model

Paper • 2408.11039 • Published Aug 20, 2024 • 59
Building and better understanding vision-language models: insights and future directions

Paper • 2408.12637 • Published Aug 22, 2024 • 126

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