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Collections including paper arxiv:2407.07726

MIT Talk 31/10 Papers

NVLM: Open Frontier-Class Multimodal LLMs

Paper • 2409.11402 • Published Sep 17 • 71
BRAVE: Broadening the visual encoding of vision-language models

Paper • 2404.07204 • Published Apr 10 • 18
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Paper • 2403.18814 • Published Mar 27 • 44
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models

Paper • 2409.17146 • Published Sep 25 • 101

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

(Continued) Pretraining

PaliGemma: A versatile 3B VLM for transfer

Paper • 2407.07726 • Published Jul 10 • 67

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 • 39
PaliGemma: A versatile 3B VLM for transfer

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

Image-Text-to-Text • Updated 5 days ago • 124k • 819

PaliGemma: A versatile 3B VLM for transfer

Paper • 2407.07726 • Published Jul 10 • 67
MM-LLMs: Recent Advances in MultiModal Large Language Models

Paper • 2401.13601 • Published Jan 24 • 45

PaliGemma: A versatile 3B VLM for transfer

Paper • 2407.07726 • Published Jul 10 • 67
Vision language models are blind

Paper • 2407.06581 • Published Jul 9 • 82
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Paper • 2404.16994 • Published Apr 25 • 35
DeepSeek-VL: Towards Real-World Vision-Language Understanding

Paper • 2403.05525 • Published Mar 8 • 39

vision language models (VLM)

PaliGemma: A versatile 3B VLM for transfer

Paper • 2407.07726 • Published Jul 10 • 67
Vision language models are blind

Paper • 2407.06581 • Published Jul 9 • 82
CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging

Paper • 2407.07315 • Published Jul 10 • 6
Video-STaR: Self-Training Enables Video Instruction Tuning with Any Supervision

Paper • 2407.06189 • Published Jul 8 • 24

DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception

Paper • 2407.08303 • Published Jul 11 • 17
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model

Paper • 2407.07053 • Published Jul 9 • 41
PaliGemma: A versatile 3B VLM for transfer

Paper • 2407.07726 • Published Jul 10 • 67
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Paper • 2407.07895 • Published Jul 10 • 40

PaliGemma: A versatile 3B VLM for transfer

Paper • 2407.07726 • Published Jul 10 • 67
Vision language models are blind

Paper • 2407.06581 • Published Jul 9 • 82

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Paper • 2406.16860 • Published Jun 24 • 57
PaliGemma: A versatile 3B VLM for transfer

Paper • 2407.07726 • Published Jul 10 • 67
E5-V: Universal Embeddings with Multimodal Large Language Models

Paper • 2407.12580 • Published Jul 17 • 39
Emu3: Next-Token Prediction is All You Need

Paper • 2409.18869 • Published Sep 27 • 91

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