2 papers
cs.CL2026
Is Agentic RAG worth it? An experimental comparison of RAG approaches
Pietro Ferrazzi, Milica Cvjeticanin, Alessio Piraccini +1
Retrieval-Augmented Generation (RAG) systems are usually defined by the combination of a generator and a retrieval component that extracts textual context from a knowledge base to…
cs.CL2026
Multilingual Medical Reasoning for Question Answering with Large Language Models
Pietro Ferrazzi, Aitor Soroa, Rodrigo Agerri
Large Language Models (LLMs) with reasoning capabilities have recently demonstrated strong potential in medical Question Answering (QA). Existing approaches are largely English-foc…