Experimental DSpark draft model for LFM2.5-VL-3B delivers faster inference speeds and small memory costs. Day-one support for llama.cpp, MLX-VLM, and SGLang. 🚀🔍 #AI #Experiment #VisionLanguage
Accelerating vision-language models with LFM2.5-VL-DSpark
A Blog post by Liquid AI on Hugging Face
huggingface.co
October 22, 2026 at 8:39 PM
Experimental DSpark draft model for LFM2.5-VL-3B delivers faster inference speeds and small memory costs. Day-one support for llama.cpp, MLX-VLM, and SGLang. 🚀🔍 #AI #Experiment #VisionLanguage
Vision AI models change answers just because an image is present—even when told to ignore it. Misleading and aligned images shifted labels #AI #MachineLearning #VisionLanguage #AIResearch
https://freegardner.com/synapse/vision-models-destabilized-by-image-presence.html
https://freegardner.com/synapse/vision-models-destabilized-by-image-presence.html
Vision Models Destabilized by Image Presence
Vision Models Destabilized by Image Presence
freegardner.com
October 3, 2026 at 6:01 PM
Vision AI models change answers just because an image is present—even when told to ignore it. Misleading and aligned images shifted labels #AI #MachineLearning #VisionLanguage #AIResearch
https://freegardner.com/synapse/vision-models-destabilized-by-image-presence.html
https://freegardner.com/synapse/vision-models-destabilized-by-image-presence.html
"Exciting news from Liquid AI: LFM2.5-VL-3B is their most powerful vision-language model for on-device use, with improved screen/UI understanding, grounding, multi-image input, and function calling. 📸🔥 #AI #VisionLanguage #EdgeComputing"
LFM2.5-VL-3B for Better and Faster Vision Capabilities for the Edge
A Blog post by Liquid AI on Hugging Face
huggingface.co
August 27, 2026 at 12:39 PM
"Exciting news from Liquid AI: LFM2.5-VL-3B is their most powerful vision-language model for on-device use, with improved screen/UI understanding, grounding, multi-image input, and function calling. 📸🔥 #AI #VisionLanguage #EdgeComputing"
#ICML2026 #MachineLearning #MultimodalLearning #RepresentationLearning #OptimalTransport #VisionLanguage #Alignment
July 3, 2026 at 9:18 AM
RP
これ私も悩んでます。
「生成AI」と呼ばれていたものを「LLM」とだけ呼ぶ人が増えてて、自分の認識が間違っていたのかとずっと疑問に感じてるんですよね。
私もそもそも大量の既存データ合成するツールの「生成AI」呼び自体にも疑問があるものの、海外産の技術でそれに対抗して裁判してるアーティストも「GenAI」と呼んでいたのでそれに倣ってきました。
前にLargeLanguageModel（大規模言語モデル）を調べたときに言語・テキストに特化したものという情報を見ていたのでVisionLanguage Model（視覚言語モデル）他もLLMに含めるのかどうかがわかってません。
これ私も悩んでます。
「生成AI」と呼ばれていたものを「LLM」とだけ呼ぶ人が増えてて、自分の認識が間違っていたのかとずっと疑問に感じてるんですよね。
私もそもそも大量の既存データ合成するツールの「生成AI」呼び自体にも疑問があるものの、海外産の技術でそれに対抗して裁判してるアーティストも「GenAI」と呼んでいたのでそれに倣ってきました。
前にLargeLanguageModel（大規模言語モデル）を調べたときに言語・テキストに特化したものという情報を見ていたのでVisionLanguage Model（視覚言語モデル）他もLLMに含めるのかどうかがわかってません。
June 28, 2026 at 1:53 AM
RP
これ私も悩んでます。
「生成AI」と呼ばれていたものを「LLM」とだけ呼ぶ人が増えてて、自分の認識が間違っていたのかとずっと疑問に感じてるんですよね。
私もそもそも大量の既存データ合成するツールの「生成AI」呼び自体にも疑問があるものの、海外産の技術でそれに対抗して裁判してるアーティストも「GenAI」と呼んでいたのでそれに倣ってきました。
前にLargeLanguageModel（大規模言語モデル）を調べたときに言語・テキストに特化したものという情報を見ていたのでVisionLanguage Model（視覚言語モデル）他もLLMに含めるのかどうかがわかってません。
これ私も悩んでます。
「生成AI」と呼ばれていたものを「LLM」とだけ呼ぶ人が増えてて、自分の認識が間違っていたのかとずっと疑問に感じてるんですよね。
私もそもそも大量の既存データ合成するツールの「生成AI」呼び自体にも疑問があるものの、海外産の技術でそれに対抗して裁判してるアーティストも「GenAI」と呼んでいたのでそれに倣ってきました。
前にLargeLanguageModel（大規模言語モデル）を調べたときに言語・テキストに特化したものという情報を見ていたのでVisionLanguage Model（視覚言語モデル）他もLLMに含めるのかどうかがわかってません。
Discover PaliGemma 2: Google's lightweight, multi-scale vision-language model, ideal for image-text tasks, content creation, and AI development projects.
#AI #PaliGemma #Google #LLM #visionlanguage
aidisruptionpub.com/p/paligemma-...
#AI #PaliGemma #Google #LLM #visionlanguage
aidisruptionpub.com/p/paligemma-...
PaliGemma 2: Google's Multi-Scale Lightweight Vision-Language Model
Discover PaliGemma 2: Google's lightweight, multi-scale vision-language model, ideal for image-text tasks, content creation, and AI development projects.
aidisruptionpub.com
December 8, 2024 at 1:51 PM
Discover PaliGemma 2: Google's lightweight, multi-scale vision-language model, ideal for image-text tasks, content creation, and AI development projects.
#AI #PaliGemma #Google #LLM #visionlanguage
aidisruptionpub.com/p/paligemma-...
#AI #PaliGemma #Google #LLM #visionlanguage
aidisruptionpub.com/p/paligemma-...
Back from the break with Phillip Isola @phillipisola.bsky.social on
“On the Perceptual Distance Between Images and Text.”
A fascinating and interactive look at how models (and humans!) measure similarity 👏🏻
#HiCV2025 #ICCV2025 #VisionLanguage
“On the Perceptual Distance Between Images and Text.”
A fascinating and interactive look at how models (and humans!) measure similarity 👏🏻
#HiCV2025 #ICCV2025 #VisionLanguage
October 20, 2025 at 9:09 PM
Back from the break with Phillip Isola @phillipisola.bsky.social on
“On the Perceptual Distance Between Images and Text.”
A fascinating and interactive look at how models (and humans!) measure similarity 👏🏻
#HiCV2025 #ICCV2025 #VisionLanguage
“On the Perceptual Distance Between Images and Text.”
A fascinating and interactive look at how models (and humans!) measure similarity 👏🏻
#HiCV2025 #ICCV2025 #VisionLanguage
#Inaturalist has released a new #VisionLanguage #AI tool that let you search the huge Inaturalist foto pool in natural language like "Bird eating fruit" www.inaturalist.org/blog/95911
Search iNaturalist Photos With Text
We are excited to announce the launch of our Vision Language Demo, developed in collaboration with our long-time partners at the University of Massachusetts Amherst, the University of Edinburgh, the U...
www.inaturalist.org
June 28, 2024 at 10:33 AM
#Inaturalist has released a new #VisionLanguage #AI tool that let you search the huge Inaturalist foto pool in natural language like "Bird eating fruit" www.inaturalist.org/blog/95911
arXiv:2503.08144v1 Announce Type: new
Abstract: Recently, large language models (LLMs) and visionlanguage models (VLMs) have achieved significant success, demonstrating remarkable capabilities in understanding various images and videos, particularly [1/7 of https://arxiv.org/abs/2503.08144v1]
Abstract: Recently, large language models (LLMs) and visionlanguage models (VLMs) have achieved significant success, demonstrating remarkable capabilities in understanding various images and videos, particularly [1/7 of https://arxiv.org/abs/2503.08144v1]
March 12, 2025 at 5:59 AM
arXiv:2503.08144v1 Announce Type: new
Abstract: Recently, large language models (LLMs) and visionlanguage models (VLMs) have achieved significant success, demonstrating remarkable capabilities in understanding various images and videos, particularly [1/7 of https://arxiv.org/abs/2503.08144v1]
Abstract: Recently, large language models (LLMs) and visionlanguage models (VLMs) have achieved significant success, demonstrating remarkable capabilities in understanding various images and videos, particularly [1/7 of https://arxiv.org/abs/2503.08144v1]
assessment of such synthetically generated RS visionlanguage data is notably absent. To fill this gap, we propose a novel score model trained on large-scale RS visionlanguage preference data for automated quality assessment. [4/7 of https://arxiv.org/abs/2503.00743v1]
March 5, 2025 at 6:13 AM
assessment of such synthetically generated RS visionlanguage data is notably absent. To fill this gap, we propose a novel score model trained on large-scale RS visionlanguage preference data for automated quality assessment. [4/7 of https://arxiv.org/abs/2503.00743v1]
assessment of such synthetically generated RS visionlanguage data is notably absent. To fill this gap, we propose a novel score model trained on large-scale RS visionlanguage preference data for automated quality assessment. [4/7 of https://arxiv.org/abs/2503.00743v1]
March 4, 2025 at 6:29 AM
assessment of such synthetically generated RS visionlanguage data is notably absent. To fill this gap, we propose a novel score model trained on large-scale RS visionlanguage preference data for automated quality assessment. [4/7 of https://arxiv.org/abs/2503.00743v1]
#VisionLanguage models are increasingly used for a wide range of problems, but seem complex to build. I wrote some code and recorded a tutorial in my lab yesterday to help others demystify how to create these models. #keepbuilding
November 25, 2025 at 5:40 PM
#VisionLanguage models are increasingly used for a wide range of problems, but seem complex to build. I wrote some code and recorded a tutorial in my lab yesterday to help others demystify how to create these models. #keepbuilding
A training-free, explainable vision-language model for medical imaging has been announced. Read more: https://getnews.me/training-free-explainable-vision-language-model-for-medical-imaging/ #medimaging #visionlanguage #explainable
October 8, 2025 at 3:49 PM
A training-free, explainable vision-language model for medical imaging has been announced. Read more: https://getnews.me/training-free-explainable-vision-language-model-for-medical-imaging/ #medimaging #visionlanguage #explainable
A new probabilistic language-image pre-training approach is reported to boost performance of vision-language models. Read more: https://getnews.me/probabilistic-language-image-pre-training-boosts-vision-language-models/ #visionlanguage #pretraining #ai
October 8, 2025 at 2:28 PM
A new probabilistic language-image pre-training approach is reported to boost performance of vision-language models. Read more: https://getnews.me/probabilistic-language-image-pre-training-boosts-vision-language-models/ #visionlanguage #pretraining #ai
A new study introduces cross-modal backward-compatible learning for vision-language models. Read more: https://getnews.me/cross-modal-backward-compatible-learning-for-vision-language-models/ #visionlanguage #crossmodal #machinelearning
October 8, 2025 at 12:32 PM
A new study introduces cross-modal backward-compatible learning for vision-language models. Read more: https://getnews.me/cross-modal-backward-compatible-learning-for-vision-language-models/ #visionlanguage #crossmodal #machinelearning
Vision‑language models guide indoor robot navigation, selecting subgoals that reduce path length by about 10 % in simulation, working zero‑shot with the DYNUS planner. Read more: https://getnews.me/vision-language-models-boost-efficiency-of-indoor-robot-navigation/ #visionlanguage #robotics
October 8, 2025 at 6:23 AM
Vision‑language models guide indoor robot navigation, selecting subgoals that reduce path length by about 10 % in simulation, working zero‑shot with the DYNUS planner. Read more: https://getnews.me/vision-language-models-boost-efficiency-of-indoor-robot-navigation/ #visionlanguage #robotics
The study reframes zero‑shot classification as Q&A and adds an attention‑intervention, boosting top‑1 accuracy on bird, flower and vehicle benchmarks. Code on GitHub. Read more: https://getnews.me/zero-shot-fine-grained-classification-with-vision-language-models/ #visionlanguage #zeroshot
October 7, 2025 at 8:36 PM
The study reframes zero‑shot classification as Q&A and adds an attention‑intervention, boosting top‑1 accuracy on bird, flower and vehicle benchmarks. Code on GitHub. Read more: https://getnews.me/zero-shot-fine-grained-classification-with-vision-language-models/ #visionlanguage #zeroshot
Spatial‑ViLT adds depth maps, 3D coordinate grids and edge maps to vision‑language models, achieving top results on the Visual Spatial Reasoning benchmark. Read more: https://getnews.me/spatial-vilt-improves-3d-spatial-reasoning-with-multi-task-learning/ #spatialvilt #visionlanguage
October 7, 2025 at 2:21 PM
Spatial‑ViLT adds depth maps, 3D coordinate grids and edge maps to vision‑language models, achieving top results on the Visual Spatial Reasoning benchmark. Read more: https://getnews.me/spatial-vilt-improves-3d-spatial-reasoning-with-multi-task-learning/ #spatialvilt #visionlanguage
Fine‑tuned LLaVa‑NeXT‑Vicuna with LoRA boosted specificity and balanced accuracy in carotid plaque stroke‑risk prediction, especially when paired with patient data. 3 Oct 2025. https://getnews.me/large-vision-language-models-boost-carotid-plaque-risk-prediction/ #visionlanguage #carotid #stroke
October 6, 2025 at 8:58 AM
Fine‑tuned LLaVa‑NeXT‑Vicuna with LoRA boosted specificity and balanced accuracy in carotid plaque stroke‑risk prediction, especially when paired with patient data. 3 Oct 2025. https://getnews.me/large-vision-language-models-boost-carotid-plaque-risk-prediction/ #visionlanguage #carotid #stroke
MaskCD, a new contrastive decoding method that masks the image head, cuts hallucination rates in LVLMs like LLaVA‑1.5‑7B and Qwen‑VL‑7B without hurting overall performance. Read more: https://getnews.me/maskcd-cuts-hallucinations-in-vision-language-models/ #maskcd #lvlm #visionlanguage
October 6, 2025 at 7:54 AM
MaskCD, a new contrastive decoding method that masks the image head, cuts hallucination rates in LVLMs like LLaVA‑1.5‑7B and Qwen‑VL‑7B without hurting overall performance. Read more: https://getnews.me/maskcd-cuts-hallucinations-in-vision-language-models/ #maskcd #lvlm #visionlanguage
A study of 221 rebus puzzles shows vision‑language models excel at visual composition but falter on missing elements and cultural symbols. The paper was submitted on 3 Oct 2025. https://getnews.me/explainability-shows-limits-of-vision-language-models-on-rebus-puzzles/ #visionlanguage #rebuspuzzles
October 6, 2025 at 7:50 AM
A study of 221 rebus puzzles shows vision‑language models excel at visual composition but falter on missing elements and cultural symbols. The paper was submitted on 3 Oct 2025. https://getnews.me/explainability-shows-limits-of-vision-language-models-on-rebus-puzzles/ #visionlanguage #rebuspuzzles
AdaRD‑Key selects query‑relevant, diverse keyframes in real time on a single GPU, achieving state‑of‑the‑art results on LongVideoBench and Video‑MME. https://getnews.me/adard-key-boosts-query-driven-frame-selection-for-long-form-video-ai/ #adardkey #visionlanguage
October 6, 2025 at 7:48 AM
AdaRD‑Key selects query‑relevant, diverse keyframes in real time on a single GPU, achieving state‑of‑the‑art results on LongVideoBench and Video‑MME. https://getnews.me/adard-key-boosts-query-driven-frame-selection-for-long-form-video-ai/ #adardkey #visionlanguage
The AGILE framework raised 2x2 jigsaw accuracy from 9.5% to 82.8% and added roughly 3% average gain across nine vision tasks, according to the authors. Read more: https://getnews.me/agile-boosts-visual-perception-and-reasoning-in-vision-language-models/ #visionlanguage #agile #multimodal
October 3, 2025 at 7:33 PM
The AGILE framework raised 2x2 jigsaw accuracy from 9.5% to 82.8% and added roughly 3% average gain across nine vision tasks, according to the authors. Read more: https://getnews.me/agile-boosts-visual-perception-and-reasoning-in-vision-language-models/ #visionlanguage #agile #multimodal
AgenticIQA uses a planner‑executor‑summarizer workflow and released AgenticIQA‑200K with 200,000 examples. It beats strong baselines on Pearson and Spearman correlation. https://getnews.me/agenticiqa-adaptive-interpretable-image-quality-assessment-framework/ #agenticiqa #imagequality #visionlanguage
October 3, 2025 at 12:22 PM
AgenticIQA uses a planner‑executor‑summarizer workflow and released AgenticIQA‑200K with 200,000 examples. It beats strong baselines on Pearson and Spearman correlation. https://getnews.me/agenticiqa-adaptive-interpretable-image-quality-assessment-framework/ #agenticiqa #imagequality #visionlanguage
Hybrid pipeline merging Monte Carlo Tree Search with a strong vision‑language model makes reliable step‑level labels, boosting benchmarks like MMMU and MathVista. Read more: https://getnews.me/vision-language-process-reward-models-enhance-test-time-scaling/ #multimodal #visionlanguage
October 3, 2025 at 10:59 AM
Hybrid pipeline merging Monte Carlo Tree Search with a strong vision‑language model makes reliable step‑level labels, boosting benchmarks like MMMU and MathVista. Read more: https://getnews.me/vision-language-process-reward-models-enhance-test-time-scaling/ #multimodal #visionlanguage