Update README.md

README.md

@@ -1,10 +1,26 @@
 ---
 library_name: transformers
 pipeline_tag: image-text-to-text
+license: apache-2.0
 ---
-# Model Card: Reflective LLaVA (ReflectiVA)
+# Model Card: Reflective LLaVA (ReflectiVA) 
 
-```ReflectiVA``` 
+Multimodal LLMs (MLLMs) are the natural extension of large language models to handle multimodal inputs, combining text and image data. 
+They have recently garnered attention due to their capability to address complex tasks involving both modalities. 
+However, their effectiveness is limited to the knowledge acquired during training, which restricts their practical utility. 
+In this work, we introduce a novel method to enhance the adaptability of MLLMs by integrating external knowledge sources. 
+Our proposed model, Reflective LLaVA (```ReflectiVA```), utilizes reflective tokens to dynamically determine the need for external knowledge 
+and predict the relevance of information retrieved from an external database.
+Tokens are trained following a two-stage two-model training recipe. This ultimately enables the MLLM to manage external knowledge 
+while preserving fluency and performance on tasks where external knowledge is not needed. 
+
+The efficacy of ```ReflectiVA``` for knowledge-based visual question answering, highlighting its 
+superior performance compared to existing methods.
+
+
+In this model space, you will find the Overall Model (stage two) weights of ```ReflectiVA```.
+
+For more information, visit our [ReflectiVA repository](https://github.com/aimagelab/ReflectiVA).
 
 ## Citation
 If you make use of our work, please cite our repo:
@@ -16,4 +32,8 @@ If you make use of our work, please cite our repo:
   journal={arXiv},
   year={2024}
 }
-```
+```
+
+## Paper page
+
+Paper can be found at https://huggingface.co/papers/2411.16863.