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jina-embeddings-v5-omni: Text-Geometry-Preserving Multimodal Embeddings via Frozen-Tower Composition research paper by Jina AI, 2026

Jina AI · Multimodal and robotics · May 8, 2026 · 11 citations · 10 upvotes · unverified

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What it shows

Frozen-encoder model composition enables efficient multimodal embedding by freezing pre-trained text models and adding specialized encoders for images and audio while maintaining text embedding consistency.

By Florian Hönicke, Michael Günther, Andreas Koukounas and 4 more · arXiv 2605.08384 · PDF

UnverifiedHugging Face's summary; not yet checked by hand.

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Other multimodal and robotics papers

Topic
Multimodal and roboticsApr 5, 2023Segment AnythingA promptable model and a dataset of over a billion masks that cut out any object in any image.Meta16.8k citations6 upvotesRead →Multimodal and roboticsJan 30, 2023BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsBLIP-2 efficiently pre-trains vision-language models using off-the-shelf frozen encoders and decoders, achieving state-of-the-art performance with fewer parameters.Salesforce9,805 citations3 upvotesRead →Multimodal and roboticsJan 28, 2022BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationBLIP, a Vision-Language Pre-training framework, improves performance across both understanding and generation tasks by bootstrapping captions from noisy web data, achieving state-of-the-art results on image-text retrieval, image captioning, and VQA, and showing strong generalization to video-language tasks.Salesforce7,655 citations5 upvotesRead →Multimodal and roboticsUnverifiedOct 25, 2024GPT-4o System CardGPT-4o is an omnimodal autoregressive model trained to handle text, audio, image, and video inputs, offering high-performance outputs across these modalities, with particular strengths in vision and audio.OpenAI5,388 citations88 upvotesRead →Multimodal and roboticsUnverifiedNov 20, 2025SAM 3: Segment Anything with ConceptsSegment Anything Model 3 achieves state-of-the-art performance in promptable concept segmentation and tracking by leveraging a unified model architecture with decoupled recognition and localization.Meta1,466 citations138 upvotesRead →Multimodal and roboticsUnverifiedMar 8, 2024DeepSeek-VL: Towards Real-World Vision-Language UnderstandingDeepSeek-VL is an open-source vision-language model that achieves state-of-the-art performance in real-world applications by combining a hybrid vision encoder with effective pretraining strategies to preserve language model capabilities.DeepSeek939 citations49 upvotesRead →
About this paper
Venue
arXiv.org
Citations
11, 1 influential · Semantic Scholar
Upvotes
10 · Hugging Face
Lab
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Changes

CitationsNov 2, 2026A first count of 1 influential citations.
CitationsNov 2, 2026A first count of 11 citations.
New paperNov 2, 2026Found by the weekly Hugging Face scan; not yet checked by hand.