Update README.md

README.md

@@ -311,7 +311,7 @@ Evaluated using the CantTalkAboutThis Dataset as introduced in the CantTalkAbout
 
 The Nemotron-4 340B-Instruct model underwent extensive safety evaluation including adversarial testing via three distinct methods: 
 - [Garak](https://docs.garak.ai/garak), is an automated LLM vulnerability scanner that probes for common weaknesses, including prompt injection and data leakage. 
-- [AEGIS](https://arxiv.org/pdf/2404.05993), is a content safety evaluation dataset and LLM based content safety classifier model, that adheres to a broad taxonomy of 13 categories of critical risks in human-LLM interactions.
+- AEGIS, is a content safety evaluation dataset and LLM based content safety classifier model, that adheres to a broad taxonomy of 13 categories of critical risks in human-LLM interactions.
 - Human Content Red Teaming leveraging human interaction and evaluation of the models' responses.
 
 ### Limitations