Update pipeline tag, add library_name, and links to paper/code

This PR updates the model card to reflect the correct `pipeline_tag` (`image-text-to-text`) as the model processes both image and text inputs to generate a text response. It also adds `library_name: transformers` as the model is compatible with the Hugging Face Transformers library.

Additionally, explicit links to the paper and the GitHub repository are added for improved discoverability.

README.md

@@ -1,18 +1,21 @@
 ---
-license: mit
 base_model: qwen2.5-vl
+license: mit
+pipeline_tag: image-text-to-text
 tags:
 - vision-language-model
 - multimodal
 - reasoning
 - fine-tuned
 - qwen
-pipeline_tag: image-to-text
+library_name: transformers
 ---
 
 # DRIFT
 
 This is a fine-tuned version of Qwen2.5-VL for enhanced reasoning capabilities, specifically optimized for multimodal reasoning tasks.
+The model is presented in the paper [Directional Reasoning Injection for Fine-Tuning MLLMs](https://huggingface.co/papers/2510.15050).
+The code and further details can be found on the GitHub repository: https://github.com/WikiChao/DRIFT
 
 ## Usage
 
@@ -78,4 +81,4 @@ If you use this model, please cite our paper.
 
 ## License
 
-This model is released under the MIT license.
+This model is released under the MIT license.