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Collections including paper arxiv:2404.16821

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 • 59
VILA^2: VILA Augmented VILA

Paper • 2407.17453 • Published Jul 24 • 38
PaliGemma: A versatile 3B VLM for transfer

Paper • 2407.07726 • Published Jul 10 • 67
openbmb/MiniCPM-V-2_6

Image-Text-to-Text • Updated 26 days ago • 130k • 802

OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding

Paper • 2406.19389 • Published Jun 27 • 51
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Paper • 2404.16821 • Published Apr 25 • 53

A Pioneering Open-Source Alternative to GPT-4V

OpenGVLab/InternVL-Chat-V1-5

Image-Text-to-Text • Updated Sep 24 • 4.1k • 401
OpenGVLab/InternVL-Chat-V1-5-AWQ

Image-Text-to-Text • Updated Sep 24 • 589 • 10
OpenGVLab/Mini-InternVL-Chat-4B-V1-5

Image-Text-to-Text • Updated Sep 24 • 1.61k • 58
OpenGVLab/Mini-InternVL-Chat-2B-V1-5

Image-Text-to-Text • Updated Sep 24 • 2.17k • 66

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Paper • 2404.16821 • Published Apr 25 • 53

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

image llm works

Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation

Paper • 2404.19752 • Published Apr 30 • 22
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Paper • 2404.16821 • Published Apr 25 • 53
MoAI: Mixture of All Intelligence for Large Language and Vision Models

Paper • 2403.07508 • Published Mar 12 • 75
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14 • 124

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Paper • 2404.16821 • Published Apr 25 • 53
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings

Paper • 2404.16820 • Published Apr 25 • 15
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 12

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Paper • 2404.16821 • Published Apr 25 • 53

Vision Language Models

BLINK: Multimodal Large Language Models Can See but Not Perceive

Paper • 2404.12390 • Published Apr 18 • 24
TextSquare: Scaling up Text-Centric Visual Instruction Tuning

Paper • 2404.12803 • Published Apr 19 • 29
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models

Paper • 2404.13013 • Published Apr 19 • 30
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD

Paper • 2404.06512 • Published Apr 9 • 29

Vision-Language Model

Visual Instruction Tuning

Paper • 2304.08485 • Published Apr 17, 2023 • 13
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

Paper • 2308.12966 • Published Aug 24, 2023 • 7
Improved Baselines with Visual Instruction Tuning

Paper • 2310.03744 • Published Oct 5, 2023 • 37
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 6

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