1 code implementation • ECCV 2020 • Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas Guibas, Ron Kimmel
Here, we claim that observing part of an object which was previously acquired as a whole, one could deal with both partial matching and shape completion in a holistic manner.
no code implementations • 14 Apr 2024 • Wiktor Mucha, Florin Cuconasu, Naome A. Etori, Valia Kalokyri, Giovanni Trappolini
The LLM processes the data and allows the user to interact with the text and responds to a given query, thus extending the functionality of corrective lenses with the ability to find and summarize knowledge from the text.
1 code implementation • 26 Jan 2024 • Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, Fabrizio Silvestri
Retrieval-Augmented Generation (RAG) has recently emerged as a method to extend beyond the pre-trained knowledge of Large Language Models by augmenting the original prompt with relevant passages or documents retrieved by an Information Retrieval (IR) system.
no code implementations • 7 Oct 2023 • Gabriele Tolomei, Cesare Campagnano, Fabrizio Silvestri, Giovanni Trappolini
In this paper, we present a groundbreaking paradigm for human-computer interaction that revolutionizes the traditional notion of an operating system.
no code implementations • 24 Jul 2023 • Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini
The emergence of large language models (LLMs) has revolutionized machine learning and related fields, showcasing remarkable abilities in comprehending, generating, and manipulating human language.
1 code implementation • 26 Jun 2023 • Andrea Bacciu, Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Fabrizio Silvestri
This paper presents Fauno, the first and largest open-source Italian conversational Large Language Model (LLM).
no code implementations • 1 Jun 2023 • Francesco Caso, Giovanni Trappolini, Andrea Bacciu, Pietro Liò, Fabrizio Silvestri
It is recognized as the preferred lens through which to study complex systems, offering a framework that can untangle their intricate dynamics.
1 code implementation • 2 May 2023 • Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Alon Halevy, Fabrizio Silvestri
The rise in loosely-structured data available through text, images, and other modalities has called for new ways of querying them.
1 code implementation • 20 Sep 2022 • Giovanni Trappolini, Valentino Maiorca, Silvio Severino, Emanuele Rodolà, Fabrizio Silvestri, Gabriele Tolomei
In this work, we focus on a specific, white-box attack to GNN-based link prediction models, where a malicious node aims to appear in the list of recommended nodes for a given target victim.
1 code implementation • NeurIPS 2021 • Giovanni Trappolini, Luca Cosmo, Luca Moschella, Riccardo Marin, Simone Melzi, Emanuele Rodolà
In this paper, we propose a transformer-based procedure for the efficient registration of non-rigid 3D point clouds.
no code implementations • 1 Apr 2021 • Giorgio Barnabò, Giovanni Trappolini, Lorenzo Lastilla, Cesare Campagnano, Angela Fan, Fabio Petroni, Fabrizio Silvestri
The two main research threads in computer-based music generation are: the construction of autonomous music-making systems, and the design of computer-based environments to assist musicians.
no code implementations • 1 Jan 2021 • Giorgio Barnabò, Giovanni Trappolini, Lorenzo Lastilla, Cesare Campagnano, Angela Fan, Fabio Petroni, Fabrizio Silvestri
In this work, we propose a novel framework for $\textit{automatic music arrangement from raw audio in the frequency domain}$.
1 code implementation • 27 Jan 2020 • Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas Guibas, Ron Kimmel
Here, we claim that observing part of an object which was previously acquired as a whole, one could deal with both partial matching and shape completion in a holistic manner.