Woodpecker: Hallucination Correction for Multimodal Large Language Models
Paper
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2310.16045
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Published
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13
Multimodal Papers
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SILC: Improving Vision Language Pretraining with Self-Distillation
Paper • 2310.13355 • Published • 5 -
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning
Paper • 2311.07574 • Published • 13 -
MyVLM: Personalizing VLMs for User-Specific Queries
Paper • 2403.14599 • Published • 14 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 39 -
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
Paper • 2306.17107 • Published • 11 -
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 -
TextSquare: Scaling up Text-Centric Visual Instruction Tuning
Paper • 2404.12803 • Published • 27 -
Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
Paper • 2404.13013 • Published • 26 -
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images
Paper • 2403.11703 • Published • 13 -
BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 23 -
TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Models
Paper • 2404.09204 • Published • 10 -
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning
Paper • 2402.11690 • Published • 6 -
Visual Instruction Tuning
Paper • 2304.08485 • Published • 8 -
MoE-LLaVA: Mixture of Experts for Large Vision-Language Models
Paper • 2401.15947 • Published • 46 -
MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens
Paper • 2404.03413 • Published • 21 -
CogVLM: Visual Expert for Pretrained Language Models
Paper • 2311.03079 • Published • 19 -
Kosmos-2: Grounding Multimodal Large Language Models to the World
Paper • 2306.14824 • Published • 34 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 37 -
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
Paper • 2311.16502 • Published • 33 -
LLaVA-Gemma: Accelerating Multimodal Foundation Models with a Compact Language Model
Paper • 2404.01331 • Published • 22 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper • 2308.12966 • Published • 6 -
DeepSeek-VL: Towards Real-World Vision-Language Understanding
Paper • 2403.05525 • Published • 38 -
Improved Baselines with Visual Instruction Tuning
Paper • 2310.03744 • Published • 32