Cited by 15Ethics and Social Impacts of AIAdversarial Robustness in Machine LearningHate Speech and Cyberbullying Detection

AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails

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Ghosh, Shaona, Varshney, Prasoon, Sreedhar, Makesh Narsimhan, Padmakumar, Aishwarya, Rebedea, Traian, Varghese, Jibin Rajan, Parisien, Christopher·2025·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)

Abstract

Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar, Aishwarya Padmakumar, Traian Rebedea, Jibin Rajan Varghese, Christopher Parisien. 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). 2025.

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  • The Llama-3.1-nemoguard-8b-content-safety model is based on Meta's Llama-3.1-8B-Instruct and was optimized by NVIDIA via LoRa-tuning utilizing AEGIS 2.0.

    “Based on Meta's Llama-3.1-8BInstruct, the model was optimized by NVIDIA via LoRa-tuning, utilizing AEGIS 2.0 [9].”

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Cited by

Sorted by citations

Authors
Ghosh, S., Varshney, P., Sreedhar, M. N., Padmakumar, A., Rebedea, T., Varghese, J. R., & Parisien, C.
Venue
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)
Published
2025
Pages
5992-6026
OpenAlex
W4411119289
Cited by
15
References
1
Citations by year
2026: 12 · 2025: 3
FWCI
15.44
Type
conference paper
Language
en
Open access
Licence
cc-by
Locations
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (publishedVersion, cc-by)
Topics
  • Social Sciences › Safety Research › Ethics and Social Impacts of AI
  • Physical Sciences › Computer Science › Artificial Intelligence › Adversarial Robustness in Machine Learning
  • Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
Keywords
AI safety, large language models, guardrails, alignment

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