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https://ircommons.uwf.edu/esploro/outputs/conferenceProceeding/Proactive-Adversarial-Defense-Harnessing-Prompt-Tuning/99381589098006600 Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen... Oct 6, 2025 - Backdoor attacks pose a critical threat by embedding hidden triggers into inputs, causing models to misclassify them into adversary-chosen target labels. While... vision language models https://python.elitedev.in/deep_learning/build-pytorch-image-captioning-vision-language-models-to-production-deployment-with-transformer-arc-6326a739/ Build PyTorch Image Captioning: Vision-Language Models to Production Deployment with Transformer... Oct 17, 2025 - Learn to build a production-ready image captioning system with PyTorch. Master vision-language models, attention mechanisms, and ONNX deployment. Complete... vision language models image captioning https://tldr.takara.ai/p/2311.16494 ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models | Takara TLDR vision language models prompt tuning argue attribute guided https://encord.com/lp/llava-webinar/ Vision Language Models: Powering the next chapter in AI Webinar on how to leverage Vision Language Models for visual data labelling vision language models powering the next chapter ai https://www.datacamp.com/sv/blog/vlms-ai-vision-language-models Vision Language Models (VLMs) Explained | DataCamp Vision language models (VLMs) are AI models that can understand and process both visual and textual data, enabling tasks like image captioning, visual question... vision language models vlms explained datacamp https://www.datacamp.com/nl/blog/vlms-ai-vision-language-models Vision Language Models (VLMs) Explained | DataCamp Vision language models (VLMs) are AI models that can understand and process both visual and textual data, enabling tasks like image captioning, visual question... vision language models vlms explained datacamp https://elmi.hbku.edu.qa/en/publications/graphadapter-tuning-vision-language-models-with-dual-knowledge-gr/fingerprints/?sortBy=alphabetically GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph - Fingerprint - Hamad Bin... vision language models https://liner.com/review/seeing-across-views-benchmarking-spatial-reasoning-of-visionlanguage-models-in Seeing Across Views: Benchmarking Spatial Reasoning of Vision-Language Models in Robotic Scenes... Regarding this ICLR 2026 paper, this review summarizes a benchmark for multi-view spatial reasoning in robotic scenes, highlighting VLM challenges. vision language models https://gamma.umd.edu/pro/vision_language/apollo/ APoLLo: Unified Adapter and Prompt Learning for Vision Language Models | GAMMA Abstract The choice of input text prompt plays a critical role in the performance of Vision-Language Pretrained (VLP) models such as CLIP. We present APoLLo, a... vision language models apollo unified adapter prompt https://www.k2k.ai/ikm-state-of-the-art/real-time-smart-spaces%3A-vision-language-models%2C-vlms. Real-Time Smart Spaces: Vision Language Models, VLMs. | K2K2024b003 V.500.50 vision language models real time smart spaces https://arxiv.org/abs/2303.07226 [2303.07226] Scaling Vision-Language Models with Sparse Mixture of Experts Abstract page for arXiv paper 2303.07226: Scaling Vision-Language Models with Sparse Mixture of Experts vision language models scaling https://openreview.net/forum?id=hssNWbMZHF&referrer=%5Bthe%20profile%20of%20Marzyeh%20Ghassemi%5D(%2Fprofile%3Fid%3D~Marzyeh_Ghassemi2) Vision-Language Models Do Not Understand Negation | OpenReview Many practical vision-language applications require models that understand negation, e.g., when using natural language to retrieve images which contain certain... vision language models do not understand negation openreview 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. vision language models what are nvidia glossary https://aclanthology.org/2025.acl-long.568/ SPHERE: Unveiling Spatial Blind Spots in Vision-Language Models Through Hierarchical Evaluation -... Wenyu Zhang, Wei En Ng, Lixin Ma, Yuwen Wang, Junqi Zhao, Allison Koenecke, Boyang Li, Lu Wang. Proceedings of the 63rd Annual Meeting of the Association for... vision language models blind spots https://www.liquid.ai/use-cases/optimizing-vision-language-models-for-product-cataloging Optimizing Vision-Language Models for Product Cataloging | Liquid AI Dec 17, 2025 - Liquid’s vision-language models cut cataloging time by 65% while delivering higher accuracy and lower costs. vision language models for product optimizing cataloging liquid https://openreview.net/forum?id=weUaJK0wJa&referrer=%5Bthe%20profile%20of%20Juanxi%20Tian%5D(%2Fprofile%3Fid%3D~Juanxi_Tian1) CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models | OpenReview Artificial intelligence has significantly impacted medical applications, particularly with the advent of Medical Large Vision Language Models (Med-LVLMs),... vision language models https://arxiv.org/abs/2505.05540 [2505.05540] Benchmarking Vision, Language, & Action Models in Procedurally Generated, Open Ended... https://paperium.net/article/en/17036/do-thought-streams-matter-evaluating-reasoning-in-gemini-vision-language-modelsfor-video-scene-under Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene... Quick breakdown of the 'Do Thought Streams Matter? Evaluating Reasoning in Gemini Vision-Language Models for Video Scene Understanding' paper. Methods https://workingreen.jobs/offers/phd-research-intern-vision-language-action-models-at-zoox-foster-city-ca PhD Research Intern, Vision Language Action Models - zoox | Job at zoox - PhD Research Intern, Vision Language Action Models in Foster City, CA, USA phd research intern vision language action https://openreview.net/forum?id=woJJa8gYiA&referrer=%5Bthe%20profile%20of%20Zaid%20Khan%5D(%2Fprofile%3Fid%3D~Zaid_Khan1) Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on... Finetuning a large vision language model (VLM) on a target dataset after large scale pretraining is a dominant paradigm in visual question answering (VQA).... https://milestoneresearch.in/JOURNALS/index.php/IJHCI/article/view/246 Indian Sign Language Understanding Through Deep Transfer Learning and Vision Models | International... indian sign language https://tldr.takara.ai/p/2503.22020 CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models | Takara TLDR Vision-language-action models (VLAs) have shown potential in leveraging pretrained vision-language models and diverse robot demonstrations for learning gener... https://www.uni-augsburg.de/en/vkal/towards-generalist-models-in-surgery-vision-and-la Towards Generalist Models in Surgery: Vision and Language Models for Surgical Scene Understanding vision and language https://proceedings.neurips.cc/paper_files/paper/2024/hash/a13ff984831deea39e6132bafdfdd6d5-Abstract-Datasets_and_Benchmarks_Track.html Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models hidden in plain sight shape recognition evaluating https://phdstudio.org/2024/10/13/holistic-evaluation-of-vision-language-models-vhelm-extending-the-helm-framework-to-vlms-aswin-ak-artificial-intelligence-category-marktechpost/ Holistic Evaluation of Vision Language Models (VHELM): Extending the HELM Framework to VLMs Aswin... https://www.anjiecheng.me/SpatialRGPT SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models spatial reasoning grounded vision language models