2 papers
cs.LG2025
Understanding Adversarial Training with Energy-based Models
Mujtaba Hussain Mirza, Maria Rosaria Briglia, Filippo Bartolucci +3
We aim at using Energy-based Model (EBM) framework to better understand adversarial training (AT) in classifiers, and additionally to analyze the intrinsic generative capabilities…
cs.CL2025
A System for Comprehensive Assessment of RAG Frameworks
Mattia Rengo, Senad Beadini, Domenico Alfano +1
Retrieval Augmented Generation (RAG) has emerged as a standard paradigm for enhancing the factual accuracy and contextual relevance of Large Language Models (LLMs) by integrating r…