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BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 26 -
TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Paper • 2404.12803 • Published • 30 -
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
Paper • 2404.13013 • Published • 31 -
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD
Paper • 2404.06512 • Published • 30
Collections
Discover the best community collections!
Collections including paper arxiv:2406.09246
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LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
Paper • 2306.17107 • Published • 11 -
On the Hidden Mystery of OCR in Large Multimodal Models
Paper • 2305.07895 • Published -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper • 2308.12966 • Published • 8 -
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper • 2401.15947 • Published • 51
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SILC: Improving Vision Language Pretraining with Self-Distillation
Paper • 2310.13355 • Published • 9 -
Woodpecker: Hallucination Correction for Multimodal Large Language Models
Paper • 2310.16045 • Published • 16 -
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Paper • 2201.12086 • Published • 3 -
ImageNetVC: Zero-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories
Paper • 2305.15028 • Published • 1
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LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning
Paper • 2309.06440 • Published • 11 -
Robotic Table Tennis: A Case Study into a High Speed Learning System
Paper • 2309.03315 • Published • 7 -
Video Language Planning
Paper • 2310.10625 • Published • 11 -
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
Paper • 2311.01455 • Published • 29