Update README.md

README.md

@@ -3,7 +3,7 @@ license: cc-by-nc-sa-4.0
 ---
 ## Introduction
 
-[ArcMMLU](https://github.com/stzhang-patrick/ArcMMLU) is a Chinese benchmark specifically designed for evaluating LLMs on Library & Information Science (LIS). It aims to evaluate the knowledge and reasoning capabilities of LLMs in the LIS academic field, which covers four key sub-areas: Archival Science, Data Science, Library Science, and Information Science.
+[ArcMMLU](https://github.com/stzhang-patrick/ArcMMLU) is a Chinese benchmark specifically designed for evaluating LLMs on Library & Information Science (LIS). It aims to evaluate the knowledge and reasoning capabilities of LLMs in the LIS academic field, which covers four key sub-areas: Archival Science, Data Science, Library Science, and Information Science. Please refer to our paper for more information [ArcMMLU: A Library and Information Science Benchmark for Large Language Models](https://arxiv.org/abs/2311.18658)
 
 It is important to note that the name ArcMMLU is derived from our previous large language model research project—[ArcGPT](https://arxiv.org/abs/2307.14852), which was primarily focused on Archival Science. Later, our research scope expanded from Archival Science to a broader field of information management, but we retained the name ArcMMLU. Therefore, ArcMMLU is not just an evaluation benchmark for Archival Science; it is a comprehensive evaluation dataset for the entire LIS discipline.