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 "citation": "@inproceedings{ghosh-etal-2025-aegis2,\n    title = \"{AEGIS}2.0: A Diverse {AI} Safety Dataset and Risks Taxonomy for Alignment of {LLM} Guardrails\",\n    author = \"Ghosh, Shaona and Varshney, Prasoon and Sreedhar, Makesh Narsimhan and Padmakumar, Aishwarya and Rebedea, Traian and Varghese, Jibin Rajan and Parisien, Christopher\",\n    editor = \"Chiruzzo, Luis and Ritter, Alan and Wang, Lu\",\n    booktitle = \"Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)\",\n    month = apr,\n    year = \"2025\",\n    address = \"Albuquerque, New Mexico\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2025.naacl-long.306/\",\n    doi = \"10.18653/v1/2025.naacl-long.306\",\n    pages = \"5992--6026\",\n    ISBN = \"979-8-89176-189-6\"\n}",
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