34 citations · 51 across the 12 of their papers we have counts for
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cs.AI2025
FATHOMS-RAG: A Framework for the Assessment of Thinking and Observation in Multimodal Systems that use Retrieval Augmented Generation
Samuel Hildebrand, Curtis Taylor, Sean Oesch +5
Retrieval-augmented generation (RAG) has emerged as a promising paradigm for improving factual accuracy in large language models (LLMs). We introduce a benchmark designed to evalua…
cs.CY2025
Agentic AI and the Cyber Arms Race
Sean Oesch, Jack Hutchins, Phillipe Austria +1
Agentic AI is shifting the cybersecurity landscape as attackers and defenders leverage AI agents to augment humans and automate common tasks. In this article, we examine the implic…