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PaperLLMsv1.0

Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

by Alibaba Cloud / DAMO Academy · free · Last verified 2026-03-17

Qwen-VL is a large-scale vision-language model series from Alibaba, trained on a curated multilingual multimodal dataset. It supports high-resolution image understanding, visual grounding with bounding boxes, and multilingual text reading, achieving state-of-the-art results on multiple visual benchmarks.

https://arxiv.org/abs/2308.12966
B
BAbove Average
Adoption: AQuality: AFreshness: ACitations: B+Engagement: F

Specifications

License
Tongyi Qianwen License
Pricing
free
Capabilities
Visual Question Answering (VQA), Image Captioning, Visual Grounding (Object Localization), Optical Character Recognition (OCR), Multilingual Conversation, High-Resolution Image Understanding, Zero-shot Image Classification, Multi-image Interleaved Conversation
Integrations
Use Cases
[object Object], [object Object], [object Object], [object Object], [object Object]
API Available
Yes
Tags
qwen-vl, multimodal, vision-language, alibaba, grounding, computer-vision, ocr, visual-question-answering, open-source, llm
Added
2026-03-17
Completeness
0.9%

Index Score

67.8
Adoption
80
Quality
89
Freshness
83
Citations
72
Engagement
0

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