Update README.md

README.md

@@ -86,7 +86,7 @@ The reward model ranks 2nd in the [RewardBench](https://huggingface.co/spaces/al
 
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
 
-To be added. The reward model may be readily used for rejection sampling finetuning (
+The repo was part of the iterative rejection sampling fine-tuning and iterative DPO. If you find the content of this repo useful in your work, please consider cite it as follows:
 
 
 ```
@@ -96,6 +96,15 @@ To be added. The reward model may be readily used for rejection sampling finetun
   journal={arXiv preprint arXiv:2304.06767},
   year={2023}
 }
+
+@misc{xiong2024iterative,
+      title={Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint}, 
+      author={Wei Xiong and Hanze Dong and Chenlu Ye and Ziqi Wang and Han Zhong and Heng Ji and Nan Jiang and Tong Zhang},
+      year={2024},
+      eprint={2312.11456},
+      archivePrefix={arXiv},
+      primaryClass={cs.LG}
+}
 ```