Papersby GlyphJina AI research papers
A company publishing mostly on multimodal and robotics, best known here for jina-embeddings-v3.7 papers · 392 citations · latest May 2026
jina-embeddings-v5-omni: Text-Geometry-Preserving Multimodal Embeddings via Frozen-Tower CompositionFrozen-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.
Jina AI11 citations10 upvotesRead →jina-embeddings-v5-text: Task-Targeted Embedding DistillationCompact text embedding models are developed through a combined training approach using distillation and contrastive loss, achieving state-of-the-art performance while supporting long-context sequences and efficient quantization.Jina AI28 citations28 upvotesRead →Jina-VLM: Small Multilingual Vision Language ModelJina-VLM, a 2.4B parameter vision-language model, achieves top performance in multilingual visual question answering using a SigLIP2 vision encoder and Qwen3 language backbone with an attention-pooling connector.Jina AI3 citations17 upvotesRead →jina-reranker-v3: Last but Not Late Interaction for Document RerankingA multilingual document reranker using causal self-attention achieves state-of-the-art performance with a compact architecture.Jina AI45 citations13 upvotesRead →Efficient Code Embeddings from Code Generation ModelsJina-code-embeddings uses an autoregressive backbone pre-trained on text and code to generate embeddings for code retrieval, question-answering, and similarity identification.Jina AI23 citations20 upvotesRead →jina-embeddings-v3: Multilingual Embeddings With Task LoRAjina-embeddings-v3, a large-scale text embedding model, achieves state-of-the-art performance in multilingual and long-context retrieval tasks using Low-Rank Adaptation and Matryoshka Representation Learning.Jina AI221 citations35 upvotesRead →Jina CLIP: Your CLIP Model Is Also Your Text RetrieverA novel multi-task contrastive training method improves CLIP model performance on both text-image and text-text retrieval tasks.Jina AI61 citations37 upvotesRead →