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cs.AI2026
Empirical Evaluation of Open-Source Large Language Models for Retrieval-Augmented Generation in ESG Domain
Motaz Saad, Anna Borrelli, Ivan Gentile +3
Environmental, Social, and Governance (ESG) reporting is critical for corporate accountability, with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) offering…
cs.AI2026
FedOPAL: One-Shot Federated Learning via Analytic Visual Prompt Tuning
Lingyu Qiu, Daniela Annunziata, Stefano Izzo +2
With the widespread deployment of basic models in edge intelligence, communication bandwidth has become a core bottleneck restricting the scalability of federated learning. Althoug…