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Collections including paper arxiv:2404.01331

Vision Language Models Papers 🖼️💬📝

Papers about vision-language models, most important ones are on top of the list.

Improved Baselines with Visual Instruction Tuning

Paper • 2310.03744 • Published Oct 5, 2023 • 37
DeepSeek-VL: Towards Real-World Vision-Language Understanding

Paper • 2403.05525 • Published Mar 8 • 39
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

Paper • 2308.12966 • Published Aug 24, 2023 • 6
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model

Paper • 2404.01331 • Published Mar 29 • 25

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

Multimodal Papers

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 14
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 6
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Paper • 2311.07574 • Published Nov 13, 2023 • 14
MyVLM: Personalizing VLMs for User-Specific Queries

Paper • 2403.14599 • Published Mar 21 • 15

Tiny VLM Decoder

BAAI/Bunny-v1_0-3B

Text Generation • Updated Jun 11 • 1.68k • 36
Tensoic/Cerule-v0.1

Image-Text-to-Text • Updated Apr 5 • 15 • 47
deepseek-ai/deepseek-vl-1.3b-base

Updated Mar 15 • 112 • 41
mtgv/MobileVLM_V2-1.7B

Text Generation • Updated Feb 7 • 3.4k • 24

Papers - Image - Encoders - DinoV2

LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model

Paper • 2404.01331 • Published Mar 29 • 25
OmniFusion Technical Report

Paper • 2404.06212 • Published Apr 9 • 74
MoDE: CLIP Data Experts via Clustering

Paper • 2404.16030 • Published Apr 24 • 12
WildGaussians: 3D Gaussian Splatting in the Wild

Paper • 2407.08447 • Published Jul 11 • 8

Papers - Encoders - DinoV2

LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model

Paper • 2404.01331 • Published Mar 29 • 25

Papers - Multimodal - Training

LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model

Paper • 2404.01331 • Published Mar 29 • 25
Data curation via joint example selection further accelerates multimodal learning

Paper • 2406.17711 • Published Jun 25 • 3
Unveiling Encoder-Free Vision-Language Models

Paper • 2406.11832 • Published Jun 17 • 49

LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model

Paper • 2404.01331 • Published Mar 29 • 25

LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model

Paper • 2404.01331 • Published Mar 29 • 25
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models

Paper • 2404.03118 • Published Apr 3 • 23
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation

Paper • 2404.07917 • Published Apr 11 • 1
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11 • 30

Mesh2NeRF: Direct Mesh Supervision for Neural Radiance Field Representation and Generation

Paper • 2403.19319 • Published Mar 28 • 12
Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Paper • 2404.01197 • Published Apr 1 • 30
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model

Paper • 2404.01331 • Published Mar 29 • 25
LVLM-Intrepret: An Interpretability Tool for Large Vision-Language Models

Paper • 2404.03118 • Published Apr 3 • 23

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