Update README.md

README.md

@@ -310,7 +310,7 @@ The benchmark is released under a [Attribution-NonCommercial-ShareAlike 4.0 Inte
 
 [*Ilias Chalkidis, Tommaso Pasini, Sheng Zhang, Letizia Tomada, Letizia, Sebastian Felix Schwemer, Anders Søgaard.*
 *FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing.*
-*2022. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland.*](https://aclanthology.org/2022.acl-long.301/)
+*2022. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, Dublin, Ireland.*](https://arxiv.org/abs/2203.07228)
 ```
 @inproceedings{chalkidis-etal-2022-fairlex,
       author={Chalkidis, Ilias and Passini, Tommaso and Zhang, Sheng and