vision language - Robuta Search

https://robotics-transformer2.github.io/ RT-2: Vision-Language-Action Models rt 2 vision language action models https://robotics-transformer.github.io/ RT-2 Vision-Language-Action rt 2 vision language action https://www.anjiecheng.me/SpatialRGPT SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models spatial reasoning vision language grounded models https://arxiv.org/html/2412.17417v2 Synth-Align: Improving Trustworthiness in Vision-Language Model with Synthetic Preference Data... vision language model https://huggingface.co/papers/2505.10610 Paper page - MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and... Join the discussion on this paper page vision language models long context paper benchmarking https://openreview.net/forum?id=sb7qHFYwBc C-CLIP: Multimodal Continual Learning for Vision-Language Model | OpenReview Multimodal pre-trained models like CLIP need large image-text pairs for training but often struggle with domain-specific tasks. Since retraining with... vision language model c clip continual learning multimodal openreview https://openreview.net/forum?id=xkgfLXZ4e0 Correlating instruction-tuning (in multimodal models) with vision-language processing (in the... Transformer-based language models, though not explicitly trained to mimic brain recordings, have demonstrated surprising alignment with brain activity.... instruction tuning multimodal models with vision language processing https://www.thoughtworks.com/en-gb/radar/techniques/vision-language-models-for-end-to-end-document-parsing Vision language models for end-to-end document parsing | Technology Radar | Thoughtworks United... Document parsing often relies on multi-stage pipelines combining layout detection, traditional OCR and post-processing scripts. These approaches often struggle... vision language models https://www.datacamp.com/it/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 explained datacamp https://openreview.net/forum?id=mmpwZfXUk7&referrer=%5Bthe%20profile%20of%20Vladan%20Stojni%C4%87%5D(%2Fprofile%3Fid%3D~Vladan_Stojni%C4%871) Label Propagation for Zero-shot Classification with Vision-Language Models | OpenReview Vision-Language Models (VLMs) have demonstrated impressive performance on zero-shot classification, i.e. classification when provided merely with a list of... vision language models label propagation zero shot https://www.thoughtworks.com/en-br/radar/techniques/vision-language-models-for-end-to-end-document-parsing Vision language models for end-to-end document parsing | Technology Radar | Thoughtworks Brazil Document parsing often relies on multi-stage pipelines combining layout detection, traditional OCR and post-processing scripts. These approaches often struggle... vision language models https://www.thoughtworks.com/es-ec/radar/techniques/vision-language-models-for-end-to-end-document-parsing Vision language models for end-to-end document parsing | Technology Radar | Thoughtworks Ecuador Document parsing often relies on multi-stage pipelines combining layout detection, traditional OCR and post-processing scripts. These approaches often struggle... vision language models https://openreview.net/forum?id=oSJqRF0Tkg&referrer=%5Bthe%20profile%20of%20Hongming%20Zhang%5D(%2Fprofile%3Fid%3D~Hongming_Zhang2) Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks | OpenReview Text-rich images, where text serves as the central visual element guiding the overall understanding, are prevalent in real-world applications, such as... vision language model https://www.amazon.science/tag/vision-language-models-vlms Vision-language models (VLMs) - Amazon Science vision language models amazon science https://openreview.net/forum?id=Q5RYn6jagC Understanding the Limits of Vision Language Models Through the Lens of the Binding Problem |... Recent work has documented striking heterogeneity in the performance of state-of-the-art vision language models (VLMs), including both multimodal language... the limits of vision language models understanding https://openreview.net/forum?id=eRleg6vy0Y&referrer=%5Bthe%20profile%20of%20Alyssa%20Unell%5D(%2Fprofile%3Fid%3D~Alyssa_Unell1) Micro-Bench: A Microscopy Benchmark for Vision-Language Understanding | OpenReview Recent advances in microscopy have enabled the rapid generation of terabytes of image data in cell biology and biomedical research. Vision-language models... vision language micro bench understanding openreview https://openreview.net/forum?id=JUwczEJY8I Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning | OpenReview Reinforcement learning (RL) requires either manually specifying a reward function, which is often infeasible, or learning a reward model from a large amount of... vision language models zero shot reinforcement learning https://civitai.com/articles/27256/a-thousand-words-image-captioning-vision-language-model-interface A Thousand Words - Image Captioning (Vision Language Model) interface | Civitai I've spent a lot of time creating various "batch processing scripts" for various VLM's in the past ( Github repo search ). Instead, I decided to sp... a thousand words vision language model image captioning interface civitai https://openreview.net/forum?id=zY37C8d6bS&referrer=%5Bthe%20profile%20of%20Ruifeng%20Chen%5D(%2Fprofile%3Fid%3D~Ruifeng_Chen1) Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement... Extracting temporally extended skills can significantly improve the efficiency of reinforcement learning (RL) by breaking down complex decision-making problems... vision language model temporal abstraction semantic via https://www.thoughtworks.com/en-cn/radar/techniques/vision-language-models-for-end-to-end-document-parsing Vision language models for end-to-end document parsing | Technology Radar | Thoughtworks China Document parsing often relies on multi-stage pipelines combining layout detection, traditional OCR and post-processing scripts. These approaches often struggle... vision language models https://arxiv.org/abs/2503.16538v1 [2503.16538v1] Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and... Abstract page for arXiv paper 2503.16538v1: Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and Tracking vision language models https://www.thoughtworks.com/es-cl/radar/techniques/vision-language-models-for-end-to-end-document-parsing Vision language models for end-to-end document parsing | Technology Radar | Thoughtworks Chile Document parsing often relies on multi-stage pipelines combining layout detection, traditional OCR and post-processing scripts. These approaches often struggle... vision language models https://openreview.net/forum?id=Kt2VJrCKo4 VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment | OpenReview Vision-language pre-training (VLP) has recently proven highly effective for various uni- and multi-modal downstream applications. However, most existing... vision language volta transformer https://www.autopilot-cvpr.net/ AUTOPILOT Workshop @ CVPR 2026 | Autonomous Driving & Vision-Language Models Join the 3rd AUTOPILOT Workshop at CVPR 2026 in Denver, Colorado. Exploring autonomous understanding through open-world perception and integrated language... autonomous driving vision language autopilot workshop cvpr https://www.qualcomm.com/developer/software/qualcomm-interactive-video-dataset-qivd Interactive Video Dataset for Vision-Language Models | Qualcomm Improve your AI's visual understanding and response with QIVD, featuring 2,900 video files and 13 categories of action attributes and object detection. vision language models interactive video dataset qualcomm https://openreview.net/forum?id=tZozeR3VV7 Backdooring Vision-Language Models with Out-Of-Distribution Data | OpenReview The emergence of Vision-Language Models (VLMs) represents a significant advancement in integrating computer vision with Large Language Models (LLMs) to... vision language models with out distribution data openreview https://vla-survey.github.io/ Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications comprehensive survey of Vision-Language-Action (VLA) models for robotics. Explore the latest research on VLA architectures, learning paradigms, and real-world... vision language https://openreview.net/forum?id=ohJxgRLlLt Large (Vision) Language Models are Unsupervised In-Context Learners | OpenReview Recent advances in large language and vision-language models have enabled zero-shot inference, allowing models to solve new tasks without task-specific... vision language models in context large unsupervised learners https://openreview.net/forum?id=hdYqGkSr9S&referrer=%5Bthe%20profile%20of%20Joseph%20Tighe%5D(%2Fprofile%3Fid%3D~Joseph_Tighe1) Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and... This paper introduces innovative benchmarks to evaluate Vision-Language Models (VLMs) in real-world zero-shot recognition tasks, focusing on the pivotal... vision language models zero shot https://openreview.net/forum?id=trj2Jq8riA Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational... Histopathology Whole-Slide Images (WSIs) provide an important tool to assess cancer prognosis in computational pathology (CPATH). While existing survival... vision language survival analysis inductive bias https://openreview.net/forum?id=7DpNGceUUV Coordinated Robustness Evaluation Framework for Vision Language Models | OpenReview Vision-language models, which integrate computer vision and natural language processing capabilities, have demonstrated significant advancements in tasks such... vision language models evaluation framework coordinated robustness openreview https://openreview.net/forum?id=kcnIHUVeLMm&referrer=%5Bthe%20profile%20of%20Xingcheng%20Zhou%5D(%2Fprofile%3Fid%3D~Xingcheng_Zhou1) Vision Language Models in Autonomous Driving and Intelligent Transportation Systems | OpenReview The applications of Vision-Language Models (VLMs) in the fields of Autonomous Driving (AD) and Intelligent Transportation Systems (ITS) have attracted... vision language models autonomous driving intelligent transportation https://arxiv.org/abs/2605.00583 [2605.00583] Jailbreaking Vision-Language Models Through the Visual Modality Abstract page for arXiv paper 2605.00583: Jailbreaking Vision-Language Models Through the Visual Modality vision language models the visual jailbreaking modality https://www.utwente.nl/en/eemcs/dmb/assignments/open/master/Computer%20Vision%20and%20Biometrics/20260203-Hyperbolic%20Vision%20Language%20Models%20(VLMs)%20in%20medical%20imaging/ Hyperbolic Vision Language Models (VLMs) in medical imaging | Computer Vision and Biometrics |... vision language models medical imaging hyperbolic https://arxiv.org/abs/2508.19652 [2508.19652] Self-Rewarding Vision-Language Model via Reasoning Decomposition Abstract page for arXiv paper 2508.19652: Self-Rewarding Vision-Language Model via Reasoning Decomposition vision language model self rewarding via reasoning https://openreview.net/forum?id=3uVAA3ckxT ADAPT: Adaptive Prompt Tuning for Vision-Language Models | OpenReview Prompt tuning has emerged as an effective way for parameter-efficient fine-tuning. Conventional deep prompt tuning inserts continuous prompts of a fixed... vision language models prompt tuning adapt openreview https://www.thoughtworks.com/en-ca/radar/techniques/vision-language-models-for-end-to-end-document-parsing Vision language models for end-to-end document parsing | Technology Radar | Thoughtworks Canada Document parsing often relies on multi-stage pipelines combining layout detection, traditional OCR and post-processing scripts. These approaches often struggle... vision language models https://arxiv.org/abs/2503.16538v2 [2503.16538v2] Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and... Abstract page for arXiv paper 2503.16538v2: Leveraging Vision-Language Models for Open-Vocabulary Instance Segmentation and Tracking vision language models https://www.wur.nl/en/vacancy/phd-position-vision-language-models-biodiversity-environmental-monitoring PhD position: Vision-Language Models for Biodiversity & Environmental Monitoring | WUR We are looking for a PhD to develop vision-language models for applications in biodiversity and environmental monitoring, using Earth observation, drone, and... vision language models phd position environmental monitoring biodiversity wur https://aclanthology.org/2024.lrec-main.973/ Medical Vision-Language Pre-Training for Brain Abnormalities - ACL Anthology Masoud Monajatipoor, Zi-Yi Dou, Aichi Chien, Nanyun Peng, Kai-Wei Chang. Proceedings of the 2024 Joint International Conference on Computational Linguistics,... medical vision pre training for brain language abnormalities https://openreview.net/forum?id=U7aGAc0S5h&referrer=%5Bthe%20profile%20of%20Zhenlin%20Xu%5D(%2Fprofile%3Fid%3D~Zhenlin_Xu1) Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and... This paper presents novel benchmarks for evaluating vision-language models (VLMs) in zero-shot recognition, focusing on granularity and specificity. Although... vision language models zero shot https://huggingface.co/papers/2305.10355 Paper page - Evaluating Object Hallucination in Large Vision-Language Models Join the discussion on this paper page large vision paper evaluating object hallucination https://openreview.net/forum?id=ELR4ifkX3j Efficient Open-set Test Time Adaptation of Vision Language Models | OpenReview In dynamic real-world settings, models must adapt to changing data distributions, a challenge known as Test Time Adaptation (TTA). This becomes even more... vision language models open set efficient test time https://www.amazon.science/publications/prompting-vision-language-models-for-aspect-controlled-generation-of-referring-expressions Prompting vision-language models for aspect-controlled generation of referring expressions - Amazon... Referring Expression Generation (REG) is the task of generating a description that unambiguously identifies a given target in the scene. Different from Image... vision language models https://www.datacamp.com/pl/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 explained datacamp https://arxiv.org/abs/2507.18053 [2507.18053] Resource Consumption Red-Teaming for Large Vision-Language Models Abstract page for arXiv paper 2507.18053: Resource Consumption Red-Teaming for Large Vision-Language Models resource consumption red teaming large vision https://openreview.net/forum?id=d5DJWgmMoX Can Vision Language Models Learn from Visual Demonstrations of Ambiguous Spatial Reasoning? |... Large vision-language models (VLMs) have become state-of-the-art for many computer vision tasks, with in-context learning (ICL) as a popular adaptation... vision language models https://vlm-jailbreaks.github.io/ Jailbreaking Vision-Language Models Through the Visual Modality | ICML 2026 Four visual jailbreak attacks exploiting the vision component of VLMs. ICML 2026. vision language models the visual jailbreaking modality icml https://openreview.net/forum?id=N0I2RtD8je Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning | OpenReview Reinforcement learning (RL) requires either manually specifying a reward function, which is often infeasible, or learning a reward model from a large amount of... vision language models zero shot reinforcement learning https://oecd.ai/en/catalogue/metric-use-cases/pali-3-vision-language-models-smaller,-faster,-stronger PaLI-3 Vision Language Models: Smaller, Faster, Stronger - OECD.AI The interest of the machine learning community in image synthesis has grown significantly in recent years, with the introduction of a wide range of deep... vision language models pali 3 smaller faster https://www.findbestmodel.app/ ModelMatch - Compare Vision-Language Models Compare top open source vision-language models side-by-side, no coding needed vision language compare models https://arxiv.org/abs/2210.05335 [2210.05335] MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model Abstract page for arXiv paper 2210.05335: MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model vision language pre training 2210 map multimodal https://arxiv.org/abs/2405.10529?context=cs.CV [2405.10529] Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors Abstract page for arXiv paper 2405.10529: Safeguarding Vision-Language Models Against Patched Visual Prompt Injectors vision language models 2405 safeguarding https://www.thoughtworks.com/radar/techniques/vision-language-models-for-end-to-end-document-parsing Vision language models for end-to-end document parsing | Technology Radar | Thoughtworks Document parsing often relies on multi-stage pipelines combining layout detection, traditional OCR and post-processing scripts. These approaches often struggle... vision language models document parsing technology radar end https://openreview.net/forum?id=iwp3H8uSeK Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models | OpenReview We propose a conceptually simple and lightweight framework for improving the robustness of vision models through the combination of knowledge distillation and... out of from vision foundation models distilling distribution https://openreview.net/forum?id=0y3hGn1wOk Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset | OpenReview Machine unlearning has emerged as an effective strategy for forgetting specific information in the training data. However, with the increasing integration of... vision language model benchmarking unlearning https://www.frontiersin.org/research-topics/18532/identifying-analyzing-and-overcoming-challenges-in-vision-and-language-research Frontiers | Identifying, Analyzing, and Overcoming Challenges in Vision and Language Research Integration of computer vision and natural language processing is one of the holy grails in machine learning and artificial intelligence research with import... overcoming challenges vision language frontiers identifying analyzing https://arxiv.org/abs/2405.19315 [2405.19315] Matryoshka Query Transformer for Large Vision-Language Models Abstract page for arXiv paper 2405.19315: Matryoshka Query Transformer for Large Vision-Language Models large vision 2405 matryoshka query transformer https://openreview.net/forum?id=gbc0m68fdw Manipulate-Anything: Automating Real-World Robots using Vision-Language Models | OpenReview Large-scale endeavors like RT-1 and widespread community efforts such as Open-X-Embodiment have contributed to growing the scale of robot demonstration data.... vision language models real world manipulate anything automating https://openreview.net/forum?id=C3PsmuhDq0&referrer=%5Bthe%20profile%20of%20Shayekh%20Bin%20Islam%5D(%2Fprofile%3Fid%3D~Shayekh_Bin_Islam1) Behind Maya: Building a Multilingual Vision Language Model | OpenReview In recent times, we have seen a rapid development of large Vision-Language Models (VLMs). They have shown impressive results on academic benchmarks, primarily... vision language model behind maya building multilingual https://openreview.net/forum?id=NEBa0bs5LR&referrer=%5Bthe%20profile%20of%20Yunhang%20Shen%5D(%2Fprofile%3Fid%3D~Yunhang_Shen1) DS-VLM: Diffusion Supervision Vision Language Model | OpenReview Vision-Language Models (VLMs) face two critical limitations in visual representation learning: degraded supervision due to information loss during gradient... vision language model ds vlm diffusion supervision https://huggingface.co/papers/2603.03739 Paper page - PROSPECT: Unified Streaming Vision-Language Navigation via Semantic--Spatial Fusion... Join the discussion on this paper page vision language https://openreview.net/forum?id=pQDzXVeBja Effortless Vision-Language Model Specialization in Histopathology without Annotation | OpenReview Recent advances in Vision-Language Models (VLMs) in histopathology, such as CONCH and QuiltNet, have demonstrated impressive zero-shot classification... vision language model effortless specialization histopathology without https://www.thoughtworks.com/en-au/radar/techniques/vision-language-models-for-end-to-end-document-parsing Vision language models for end-to-end document parsing | Technology Radar | Thoughtworks Australia Document parsing often relies on multi-stage pipelines combining layout detection, traditional OCR and post-processing scripts. These approaches often struggle... vision language models https://openreview.net/forum?id=6zoKzrRn2h&referrer=%5Bthe%20profile%20of%20Zhihe%20Lu%5D(%2Fprofile%3Fid%3D~Zhihe_Lu1) Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models | OpenReview vision language models beyond sole strength customized https://openreview.net/forum?id=WutpswD3ea Assisted Few-Shot Learning for Vision-Language Models in Agricultural Stress Phenotype... In the agricultural sector, labeled data for crop diseases and stresses are often scarce due to high annotation costs. We propose an Assisted Few-Shot Learning... few shot learning vision language models https://arxiv.org/abs/2505.13302?ref=disinfodocket.com [2505.13302] Images Amplify Misinformation Sharing in Vision-Language Models Abstract page for arXiv paper 2505.13302: Images Amplify Misinformation Sharing in Vision-Language Models in vision images amplify misinformation sharing https://www.thoughtworks.com/en-ec/radar/techniques/vision-language-models-for-end-to-end-document-parsing Vision language models for end-to-end document parsing | Technology Radar | Thoughtworks Ecuador Document parsing often relies on multi-stage pipelines combining layout detection, traditional OCR and post-processing scripts. These approaches often struggle... vision language models 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://openreview.net/forum?id=vQDKYYuqWA Vision-Language Models Provide Promptable Representations for Reinforcement Learning | OpenReview Humans can quickly learn new behaviors by leveraging background world knowledge. In contrast, agents trained with reinforcement learning (RL) typically learn... vision language models reinforcement learning provide representations openreview https://arxiv.org/abs/2508.08604v1 [2508.08604v1] Transferable Model-agnostic Vision-Language Model Adaptation for Efficient... Abstract page for arXiv paper 2508.08604v1: Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization vision language transferable model agnostic adaptation https://vislang.ai/ VisLang - Vision, Language and Learning Lab at Rice University Research group at Rice University led by Vicente Ordonez, working at the intersection of computer vision, natural language processing, and machine learning. vision language learning lab rice university https://openreview.net/forum?id=XgYZT35N76&referrer=%5Bthe%20profile%20of%20Yiming%20Yang%5D(%2Fprofile%3Fid%3D~Yiming_Yang1) Improve Vision Language Model Chain-of-thought Reasoning | OpenReview Chain-of-thought (CoT) reasoning in vision language models (VLMs) is crucial for improving interpretability and trustworthiness. However, current training... chain of thought reasoning vision language model improve openreview https://www.thoughtworks.com/es-es/radar/techniques/vision-language-models-for-end-to-end-document-parsing Vision language models for end-to-end document parsing | Technology Radar | Thoughtworks Spain Document parsing often relies on multi-stage pipelines combining layout detection, traditional OCR and post-processing scripts. These approaches often struggle... vision language models https://huggingface.co/papers/2210.09996 Paper page - Perceptual Grouping in Contrastive Vision-Language Models Join the discussion on this paper page vision language paper perceptual grouping contrastive https://www.analyticsvidhya.com/blog/2024/03/introducing-moondream2-a-tiny-vision-language-model/ Introducing Moondream2: A tiny Vision-Language Model Mar 30, 2024 - Explore Moondream2, a small vision-language model for efficient image-text tasks. Components, implementation, applications, and limitations. vision language introducing tiny model https://arxiv.org/abs/2604.02318v1 [2604.02318v1] Stop Wandering: Efficient Vision-Language Navigation via Metacognitive Reasoning Abstract page for arXiv paper 2604.02318v1: Stop Wandering: Efficient Vision-Language Navigation via Metacognitive Reasoning vision language stop wandering efficient https://openreview.net/forum?id=iVxxgZlXh6 LLaRA: Supercharging Robot Learning Data for Vision-Language Policy | OpenReview Vision Language Models (VLMs) have recently been leveraged to generate robotic actions, forming Vision-Language-Action (VLA) models. However, directly adapting... robot learning data for vision language supercharging policy https://arxiv.org/html/2603.02972v1 TagaVLM: Topology-Aware Global Action Reasoning for Vision-Language Navigation global action vision language topology aware reasoning https://speakerdeck.com/keio_smilab/the-confluence-of-vision-language-and-robotics The Confluence of Vision, Language, and Robotics - Speaker Deck the confluence vision language robotics speaker deck https://openreview.net/forum?id=vvoWPYqZJA InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning | OpenReview Large-scale pre-training and instruction tuning have been successful at creating general-purpose language models with broad competence. However, building... vision language models general purpose instruction tuning towards https://huggingface.co/papers/2311.01477 Paper page - FAITHSCORE: Evaluating Hallucinations in Large Vision-Language Models Join the discussion on this paper page large vision paper evaluating hallucinations language https://www.datacamp.com/blog/top-vision-language-models Top 10 Vision Language Models in 2026 | DataCamp Discover the top open-source and proprietary vision-language models of 2026 for visual reasoning, image analysis, and computer vision. vision language models top 10 2026 datacamp https://deepai.org/publication/illume-rationalizing-vision-language-models-by-interacting-with-their-jabber ILLUME: Rationalizing Vision-Language Models by Interacting with their Jabber | DeepAI Aug 17, 2022 - 08/17/22 - Bootstrapping from pre-trained language models has been proven to be an efficient approach for building foundation vision-language... vision language models illume rationalizing https://huggingface.co/papers/2401.12168 Paper page - SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities Join the discussion on this paper page vision language models spatial reasoning paper https://openreview.net/forum?id=SB2sWF3oCw Understanding and Improving In-Context Learning on Vision-language Models | OpenReview In-context learning (ICL) on large language models (LLMs) has received great attention, and this technique can also be applied to vision-language models (VLMs)... in context learning vision language models understanding improving https://arxiv.org/html/2407.13588v1 Robust Calibration of Large Vision-Language Adapters large vision robust calibration language adapters https://arxiv.org/abs/2407.01449?ref=blog.mixpeek.com [2407.01449] ColPali: Efficient Document Retrieval with Vision Language Models Abstract page for arXiv paper 2407.01449: ColPali: Efficient Document Retrieval with Vision Language Models document retrieval with vision 2407 colpali efficient https://arxiv.org/abs/2306.11300 [2306.11300] RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language... Abstract page for arXiv paper 2306.11300: RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing a large vision language 2306 https://www.thoughtworks.com/en-sg/radar/techniques/vision-language-models-for-end-to-end-document-parsing Vision language models for end-to-end document parsing | Technology Radar | Thoughtworks Singapore Document parsing often relies on multi-stage pipelines combining layout detection, traditional OCR and post-processing scripts. These approaches often struggle... vision language models https://openreview.net/forum?id=R2rasAEPVi Leopard: A Vision Language Model for Text-Rich Multi- Image Tasks | OpenReview Text-rich images, where text serves as the central visual element guiding the overall understanding, are prevalent in real-world applications, such as... vision language model https://openreview.net/forum?id=haJHr4UsQX Causal Graphical Models for Vision-Language Compositional Understanding | OpenReview Recent work has empirically shown that Vision-Language Models (VLMs) struggle to fully understand the compositional properties of the human language, usually... graphical models vision language causal compositional understanding https://www.esri.com/arcgis-blog/products/arcgis-pro/geoai/use-vision-language-models-to-optimize-object-classification Use vision-language models to optimize object classification Mar 10, 2026 - Rohit Singh demonstrates how to use vision-language models in scenarios where understanding both image and text content is crucial. vision language models use optimize object classification https://autopilot-cvpr.net/ AUTOPILOT Workshop @ CVPR 2026 | Autonomous Driving & Vision-Language Models Join the 3rd AUTOPILOT Workshop at CVPR 2026 in Denver, Colorado. Exploring autonomous understanding through open-world perception and integrated language... autonomous driving vision language autopilot workshop cvpr https://openreview.net/forum?id=iq0wUf6dUy Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation |... Solving complex long-horizon robotic manipulation problems requires sophisticated high-level planning capabilities, the ability to reason about the physical... vision language models https://openreview.net/forum?id=friHAl5ofG Vision Language Models are In-Context Value Learners | OpenReview Predicting temporal progress from visual trajectories is important for intelligent robots that can learn, adapt, and improve. However, learning such progress... vision language models in context value learners openreview https://agentic-robot.github.io/ Agentic Robot: Vision-Language-Action Models in Embodied Agents Agentic Robot: A Brain-Inspired Framework for Vision-Language-Action Models in Embodied Agents robot vision agentic language action models https://openreview.net/forum?id=XLiUcvHfzS Post-hoc Probabilistic Vision-Language Models | OpenReview Vision-language models (VLMs), such as CLIP and SigLIP, have found remarkable success in classification, retrieval, and generative tasks. For this, VLMs... vision language models post hoc probabilistic openreview https://arxiv.org/abs/2505.05540 [2505.05540] Benchmarking Vision, Language, & Action Models in Procedurally Generated, Open Ended... vision language https://fastvlm.net/ FastVLM: Apple's Extremely Fast Vision Language Model Runs directly on iPhone, first token output up to 85x faster! vision language fastvlm apple extremely model