vision language models - Robuta Search

https://huggingface.co/blog/lightonai/lightonocr

LightOnOCR-1B: The Case for End-to-End and Efficient Domain-Specific Vision-Language Models for OCR

A Blog post by LightOn AI on Hugging Face

https://aiwith.me/tools/8pixlabs-com/

8PixLabs: Molmo AI is a suite of open vision-language models developed by the Allen Institute for...

Jan 2, 2026 - 8PixLabs: Molmo AI is a family of open-source vision-language models that provide advanced AI functionalities such as image recognition and text generation,...

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https://megagon.ai/vlms-conflicting-info-which-does-it-trust/

When Vision-language models get conflicting Information, Which Signal Does It Trust? - Megagon

Nov 13, 2025 - VLMs don't simply "fuse" multimodal information—they make active, context-dependent decisions about which signals to prioritize...

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https://towardsdatascience.com/how-to-apply-vision-language-models-to-long-documents/

How to Apply Vision Language Models to Long Documents | Towards Data Science

Dec 6, 2025 - Learn how to apply powerful VLMs for long context document understanding tasks

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https://huggingface.co/blog/manu/colpali

ColPali: Efficient Document Retrieval with Vision Language Models 👀

A Blog post by Manuel Faysse on Hugging Face

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https://www.eivindkjosbakken.com/webinar

Free Webinar: Vision Language Models | Eivind Kjosbakken

Watch a free webinar recording on applying vision language models to document processing. Learn practical VLM techniques from Eivind Kjosbakken.

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https://www.amazon.science/blog/fine-tuning-vision-language-models-on-memory-constrained-devices

Fine-tuning vision-language models on memory-constrained devices - Amazon Science

Jan 9, 2026 - A new hybrid optimization approach allows edge devices to fine-tune vision-language models using only forward passes, achieving up to 7% higher accuracy than...

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https://www.nvidia.com/en-us/glossary/vision-language-models/

What are Vision-Language Models? | NVIDIA Glossary

Vision Language Models (VLMs) are multimodal generative AI models capable of reasoning over text, image and video prompts.

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https://j-min.io/publication/crg_eccv2024/

Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training |...

Jan 28, 2025 - CRG is a training-free method that guides VLMs to help understand the visual prompts, by contrasting the outputs with & without visual prompts. - *[ECCV...

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https://j-min.io/publication/capture_iccv2025/

CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting |...

Sep 16, 2025 - a VLM benchmark testing spatial reasoning by making the models count objects under occlusion

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