Update README.md

README.md

@@ -6,7 +6,10 @@ base_model:
 - deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
 pipeline_tag: question-answering
 ---
-## From Faithfulness to Correctness: Generative Reward Models that Think Critically
+# From Faithfulness to Correctness: Generative Reward Models that Think Critically
+
+[[📜 Paper](https://arxiv.org/abs/2509.25409)] [[🖥️ Code](https://github.com/Martin-qyma/TRM)] [[🤗 Hugging Face](https://huggingface.co/QiyaoMa/TRM)]
+
 In this repository, we introduce the **Thinking-supervised Reward Model (TRM)**: a sentence-level generative reward model that equips language models with *critical thinking* abilities. TRM enables stepwise reasoning—from document faithfulness to factual correctness—for Chinese question answering (QA) tasks with supporting documents.
 
 ## Thinking-supervised Reward Model (TRM)
@@ -18,10 +21,4 @@ TRM is further incorporated into policy optimization within a reinforcement lear
 <img src='Policy Model.png' />
 
 ## Getting Started
-Please follow instructions in [https://github.com/Martin-qyma/TRM](https://github.com/Martin-qyma/TRM) for detailed implementation.
-
-## Citation
-If you find this repository useful for your research, please consider citing our paper:
-```
-
-```
+Please follow instructions in [https://github.com/Martin-qyma/TRM](https://github.com/Martin-qyma/TRM) for detailed implementation.