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20212025
most citedThe Power of Noise: Redefining Retrieval for RAG Systems

204 citations · 238 across the 13 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.LG2023★ 1 cited

Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models

Gabriele Tolomei, Cesare Campagnano, Fabrizio Silvestri +1

In this paper, we present a groundbreaking paradigm for human-computer interaction that revolutionizes the traditional notion of an operating system. Within this innovative framewo…

cs.CL2023★ 2 cited

RRAML: Reinforced Retrieval Augmented Machine Learning

Andrea Bacciu, Florin Cuconasu, Federico Siciliano +3

The emergence of large language models (LLMs) has revolutionized machine learning and related fields, showcasing remarkable abilities in comprehending, generating, and manipulating…

cs.CL2023

Fauno: The Italian Large Language Model that will leave you senza parole!

Andrea Bacciu, Giovanni Trappolini, Andrea Santilli +2

This paper presents Fauno, the first and largest open-source Italian conversational Large Language Model (LLM). Our goal with Fauno is to democratize the study of LLMs in Italian,…

cs.LG2023★ 1 cited

Renormalized Graph Representations for Node Classification

Francesco Caso, Giovanni Trappolini, Andrea Bacciu +2

Graph neural networks process information on graphs represented at a given resolution scale. We analyze the effect of using different coarse-grained graph resolutions, obtained thr…

cs.MM2023★ 11 cited

Multimodal Neural Databases

Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà +2

The rise in loosely-structured data available through text, images, and other modalities has called for new ways of querying them. Multimedia Information Retrieval has filled this…