diff --git a/README.md b/README.md
index 2c47a09..bc6b8ea 100644
--- a/README.md
+++ b/README.md
@@ -26,13 +26,13 @@ Model zoom: https://zenodo.org/record/8031783
 
 This repository is an open-source project for benchmarking structure-based protein design methods, which provides a variety of collated datasets, reprouduced methods, novel evaluation metrics, and fine-tuned models that are all integrated into one unified framework. It also contains the implementation code for the paper:
 
-**ProteinInvBench: Benchmarking Protein Design on Diverse Tasks, Models, and Metrics**
+[**ProteinInvBench: Benchmarking Protein Design on Diverse Tasks, Models, and Metrics**](https://openreview.net/pdf?id=bqXduvuW5E)
 
 [Zhangyang Gao](https://scholar.google.com/citations?user=4SclT-QAAAAJ&hl=en), [Cheng Tan](https://chengtan9907.github.io/), [Yijie Zhang](https://scholar.google.com/citations?user=Q9Gby5wAAAAJ&hl=en), [Xingran Chen](https://www.chenxingran.com/), [Stan Z. Li](https://scholar.google.com/citations?user=Y-nyLGIAAAAJ&hl).
 
 ## Introduction
 
-[ProteinInvBench]() is the first comprehensive benchmark for protein design. The main contributions of our paper could be listed as four points below:
+[ProteinInvBench](https://openreview.net/pdf?id=bqXduvuW5E) is the first comprehensive benchmark for protein design. The main contributions of our paper could be listed as four points below:
 
 * **Tasks:** We extend recent impressive models from single-chain protein design to the scenarios of multi-chain and de-novoprotein design.
 * **Models:** We integrate recent impressive models into a unified framework for efficiently reproducing and extending them to custom tasks.
@@ -181,11 +181,13 @@ ProteinInvBench is an open-source project for structure-based protein design met
 ## Citation
 
 ```
-@article{gao2023knowledge,
-  title={Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement},
-  author={Gao, Zhangyang and Tan, Cheng and Li, Stan Z},
-  journal={arXiv preprint arXiv:2305.15151},
-  year={2023}
+@inproceedings{
+gao2023proteininvbench,
+title={ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics},
+author={Zhangyang Gao and Cheng Tan and Yijie Zhang and Xingran Chen and Lirong Wu and Stan Z. Li},
+booktitle={Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
+year={2023},
+url={https://openreview.net/forum?id=bqXduvuW5E}
 }
 ```