Update README.md

README.md

@@ -36,12 +36,11 @@ pipeline_tag: visual-document-retrieval
 
 
 ## Intended Usage & Model Info
-`jina-embeddings-v4` is a multilingual, multimodal embedding model designed for unified representation of text and images. 
-The model is specialized for complex document retrieval, including visually rich documents with charts, tables, and illustrations. 
-Embeddings produced by `jina-embeddings-v4` serve as the backbone for neural information retrieval and multimodal GenAI applications.
+`jina-embeddings-v4` is a universal embedding model for multimodal and multilingual retrieval. 
+The model is specially designed for complex document retrieval, including visually rich documents with charts, tables, and illustrations. 
 
 
-Built based on [Qwen/Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct), `jina-embeddings-v4` has the following features:
+Built on [Qwen/Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct), `jina-embeddings-v4` features:
 
 - **Unified embeddings** for text, images, and visual documents, supporting both dense (single-vector) and late-interaction (multi-vector) retrieval.
 - **Multilingual support** (30+ languages) and compatibility with a wide range of domains, including technical and visually complex documents.
@@ -65,9 +64,9 @@ Summary of features:
 
 
 
-## Training, Data, Parameters
+## Training & Evaluation
 
-Please refer to our [technical report of jina-embeddings-v4](https://arxiv.org/abs/2506.18902) for the model and training details.
+Please refer to our [technical report of jina-embeddings-v4](https://arxiv.org/abs/2506.18902) for training details and benchmarks.
 
 
 ## Usage