Improved Baselines with Visual Instruction Tuning
Paper
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2310.03744
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Published
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32
Vision Language Models Papers 🖼️💬📝
Papers about vision-language models, most important ones are on top of the list.
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DeepSeek-VL: Towards Real-World Vision-Language Understanding
Paper • 2403.05525 • Published • 36 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper • 2308.12966 • Published • 6 -
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
Paper • 2404.01331 • Published • 22 -
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
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Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 37 -
Kosmos-2: Grounding Multimodal Large Language Models to the World
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CogVLM: Visual Expert for Pretrained Language Models
Paper • 2311.03079 • Published • 18 -
MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens
Paper • 2404.03413 • Published • 21 -
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper • 2401.15947 • Published • 46 -
Visual Instruction Tuning
Paper • 2304.08485 • Published • 7 -
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning
Paper • 2402.11690 • Published • 6 -
TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Models
Paper • 2404.09204 • Published • 10 -
BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 23 -
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
Paper • 2403.11703 • Published • 13 -
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
Paper • 2404.13013 • Published • 26 -
TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Paper • 2404.12803 • Published • 27 -
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
Paper • 2310.14566 • Published • 23 -
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
Paper • 2306.17107 • Published • 11 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 39 -
MyVLM: Personalizing VLMs for User-Specific Queries
Paper • 2403.14599 • Published • 14 -
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning
Paper • 2311.07574 • Published • 13 -
SILC: Improving Vision Language Pretraining with Self-Distillation
Paper • 2310.13355 • Published • 4 -
Woodpecker: Hallucination Correction for Multimodal Large Language Models
Paper • 2310.16045 • Published • 13 -
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation
Paper • 2404.14396 • Published • 16 -
SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension
Paper • 2404.16790 • Published • 7 -
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
Paper • 2404.16994 • Published • 29