Update README.md

README.md

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 # Model Card for deberta-v3-large-Rationale-to-Score
 
-This repository provides a fine-tuned version of microsoft/deberta-v3-large,
+This repository hosts a version of `microsoft/deberta-v3-large` that has been fine-tuned to assess text-based rationales and generate corresponding scores. As shown in the examples, the model processes a given free-text rationale and outputs a numerical score.
 
+For a comprehensive understanding of the training process and methodologies employed, please refer to our detailed research paper: [Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring](https://arxiv.org/abs/2406.19949).
+
+If you utilize this model in your research, please acknowledge it by citing our work:
+
+## Citation Information
+
+```bibtex
+@misc{li2024calibratingllmspreferenceoptimization,
+      title={Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring}, 
+      author={Jiazheng Li and Hainiu Xu and Zhaoyue Sun and Yuxiang Zhou and David West and Cesare Aloisi and Yulan He},
+      year={2024},
+      eprint={2406.19949},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2406.19949}, 
+}
+```