Add pipeline tag and library_name to metadata and link paper

README.md

@@ -1,11 +1,13 @@
 ---
-license: apache-2.0
+base_model:
+- Qwen/Qwen2.5-VL-3B-Instruct
 datasets:
 - MedVLSynther/MedSynVQA-5K-PMC-style
 language:
 - en
-base_model:
-- Qwen/Qwen2.5-VL-3B-Instruct
+license: apache-2.0
+pipeline_tag: image-text-to-text
+library_name: transformers
 ---
 
 # MedVLSynther-3B-RL_5K_PMC-style
@@ -16,7 +18,7 @@ Project Page: https://ucsc-vlaa.github.io/MedVLSynther/
 ## Model Description
 
 MedVLSynther-3B-RL_5K_PMC-style is a 3B parameter medical vision-language model based on Qwen2.5-VL. 
-This model has been trained using reinforcement learning on MedSynVQA-5K-PMC-style dataset.
+This model has been trained using reinforcement learning on MedSynVQA-5K-PMC-style dataset. It is described in the paper [MedVLSynther: Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs](https://huggingface.co/papers/2510.25867).
 
 ## Model Details
 
@@ -47,7 +49,8 @@ processor = AutoProcessor.from_pretrained(model_name)
 messages_1 = [
     {
         "role": "system",
-        "content": "You will solve a problem/request. You should provide your thoughts within <think> </think> tags before providing the answer.\nWrite your final answer within <answer> </answer> tags.",
+        "content": "You will solve a problem/request. You should provide your thoughts within <think> </think> tags before providing the answer.
+Write your final answer within <answer> </answer> tags.",
     },
     {
         "role": "user",
@@ -64,7 +67,8 @@ messages_1 = [
 messages_2 = [
     {
         "role": "system",
-        "content": "You will solve a problem/request. You should provide your thoughts within <think> </think> tags before providing the answer.\nWrite your final answer within <answer> </answer> tags.",
+        "content": "You will solve a problem/request. You should provide your thoughts within <think> </think> tags before providing the answer.
+Write your final answer within <answer> </answer> tags.",
     },
     {
         "role": "user",