2 papers
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.CR2025
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware
Brandon J Walton, Mst Eshita Khatun, James M Ghawaly +1
Malware analysis is a complex process of examining and evaluating malicious software's functionality, origin, and potential impact. This arduous process typically involves dissecti…