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Papers
The Power of Noise: Redefining Retrieval for RAG Systems
Cuconasu, Florin; Trappolini, Giovanni; Siciliano, Federico; Filice, Simone; Campagnano, Cesare; Maarek, Yoelle; Tonellotto, Nicola; Silvestri, Fabrizio
2024
https://dl.acm.org/doi/10.1145/3626772.3657834
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems
Cuconasu, Florin; Trappolini, Giovanni; Tonellotto, Nicola; Silvestri, Fabrizio
2024
https://arxiv.org/abs/2406.14972
Eco-Aware Graph Neural Networks for Sustainable Recommendations
Purificato, Antonio; Silvestri, Fabrizio;
2024
arXiv preprint arXiv:2410.09514
A Reproducible Analysis of Sequential Recommender Systems
Betello, Filippo; Purificato, Antonio; Siciliano, Federico; Trappolini, Giovanni; Bacciu, Andrea; Tonellotto, Nicola; Silvestri, Fabrizio;
2024
arXiv preprint arXiv:2408.03873
The CAESAR Project for the ASI Space Weather Infrastructure
Laurenza, M; Del Moro, D; Alberti, T; Battiston, R; Benella, S; Benvenuto, F; Berrilli, F; Bertello, I; Bertucci, B; Biasiotti, L;
2023
Remote Sensing
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
Bucarelli, Maria Sofia; Cassano, Lucas; Siciliano, Federico; Mantrach, Amin; Silvestri, Fabrizio;
2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
Deep active learning for misinformation detection using geometric deep learning
Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio;
2023
Online Social Networks and Media
A data-driven approach to refine predictions of differentiated thyroid cancer outcomes: a prospective multicenter study
Grani, Giorgio; Gentili, Michele; Siciliano, Federico; Albano, Domenico; Zilioli, Valentina; Morelli, Silvia; Puxeddu, Efisio; Zatelli, Maria Chiara; Gagliardi, Irene; Piovesan, Alessandro;
2023
The Journal of Clinical Endocrinology & Metabolism
Integrating Item Relevance in Training Loss for Sequential Recommender Systems
Bacciu, Andrea; Siciliano, Federico; Tonellotto, Nicola; Silvestri, Fabrizio;
2023
arXiv preprint arXiv:2305.10824
RRAML: Reinforced Retrieval Augmented Machine Learning
Bacciu, Andrea; Cuconasu, Florin; Siciliano, Federico; Silvestri, Fabrizio; Tonellotto, Nicola; Trappolini, Giovanni;
2023
arXiv preprint arXiv:2307.12798
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study
Betello, Filippo; Siciliano, Federico; Mishra, Pushkar; Silvestri, Fabrizio;
2023
46th European Conference on Information Retrieval (ECIR)
False Data Injection Impact on High RES Power Systems with Centralized Voltage Regulation Architecture
Bragatto, Tommaso; Bucarelli, Marco Antonio; Bucarelli, Maria Sofia; Carere, Federico; Geri, Alberto; Maccioni, Marco;
2023
Sensors
Combining Distance to Class Centroids and Outlier Discounting for Improved Learning with Noisy Labels
Wani, Farooq Ahmad; Bucarelli, Maria Sofia; Silvestri, Fabrizio;
2023
arXiv preprint arXiv:2303.09470
On Generalization Bounds for Projective Clustering
Bucarelli, Maria Sofia; Larsen, Matilde; Schwiegelshohn, Chris ; Toftrup, Mads;
2023
Advances in Neural Information Processing Systems 36 (NeurIPS 2023)
Renormalized Graph Neural Networks
Caso, Francesco; Trappolini, Giovanni; Bacciu, Andrea; Liò, Pietro; Silvestri, Fabrizio;
2023
arXiv preprint arXiv:2306.00707
Synonymy in Korean Lexicon through the Lens of Vector Semantics
Ruscio, Valeria;
2023
Percorsi in Civiltà dell’Asia e dell’Africa II: Quaderni di studi dottorali alla Sapienza
Attention-likelihood relationship in transformers
Ruscio, Valeria; Maiorca, Valentino; Silvestri, Fabrizio;
2023
ICLR 2023 TinyPapers
Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It
Federico Siciliano, Luca Maiano, Lorenzo Papa, Irene Amerini, Fabrizio Silvestri
2023
ECML-PKDD Workshops
Sparse Vicious Attacks on Graph Neural Networks
Trappolini, Giovanni; Maiorca, Valentino; Severino, Silvio; Rodola, Emanuele; Silvestri, Fabrizio; Tolomei, Gabriele;
2023
IEEE Transactions on Artificial Intelligence
CycleDRUMS: automatic drum arrangement for bass lines using CycleGAN
Barnabò, Giorgio; Trappolini, Giovanni; Lastilla, Lorenzo; Campagnano, Cesare; Fan, Angela; Petroni, Fabio; Silvestri, Fabrizio;
2023
Discover Artificial Intelligence
Multimodal Neural Databases
Trappolini, Giovanni; Santilli, Andrea; Rodolà, Emanuele; Halevy, Alon; Silvestri, Fabrizio;
2023
https://arxiv.org/abs/2305.01447
Fauno: The Italian Large Language Model that will leave you senza parole!
Bacciu, Andrea; Trappolini, Giovanni; Santilli, Andrea; Rodolà, Emanuele; Silvestri, Fabrizio;
2023
arXiv preprint arXiv:2306.14457
FLIRT: Federated Learning for Information Retrieval
Pinelli, Fabio; Tolomei, Gabriele; Trappolini, Giovanni;
2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models
Tolomei, Gabriele; Campagnano, Cesare; Silvestri, Fabrizio; Trappolini, Giovanni;
2023
arXiv preprint arXiv:2310.04875
Improving wikipedia verifiability with AI
Petroni, Fabio; Broscheit, Samuel; Piktus, Aleksandra; Lewis, Patrick; Izacard, Gautier; Hosseini, Lucas; Dwivedi-Yu, Jane; Lomeli, Maria; Schick, Timo; Bevilacqua, Michele;
2023
Nature Machine Intelligence
The ROOTS Search Tool: Data Transparency for LLMs
Piktus, Aleksandra; Akiki, Christopher; Villegas, Paulo; Laurençon, Hugo; Dupont, Gérard; Luccioni, Alexandra Sasha; Jernite, Yacine; Rogers, Anna;
2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration
Piktus, Aleksandra; Ogundepo, Odunayo; Akiki, Christopher; Oladipo, Akintunde; Zhang, Xinyu; Schoelkopf, Hailey; Biderman, Stella; Potthast, Martin; Lin, Jimmy;
2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
Scaling Data-Constrained Language Models
Muennighoff, Niklas; Rush, Alexander M; Barak, Boaz; Scao, Teven Le; Piktus, Aleksandra; Tazi, Nouamane; Pyysalo, Sampo; Wolf, Thomas; Raffel, Colin;
2023
NeurIPS 2023 Main Track
Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face
Akiki, Christopher; Ogundepo, Odunayo; Piktus, Aleksandra; Zhang, Xinyu; Oladipo, Akintunde; Lin, Jimmy; Potthast, Martin;
2023
EMNLP 2023 Demo Track
FinGPT: Large Generative Models for a Small Language
Luukkonen, Risto; Komulainen, Ville; Luoma, Jouni; Eskelinen, Anni; Kanerva, Jenna; Kupari, Hanna-Mari; Ginter, Filip; Laippala, Veronika; Muennighoff, Niklas; Piktus, Aleksandra;
2023
arXiv preprint arXiv:2311.05640
Sheaf4Rec: Sheaf Neural Networks for Graph-based Recommender Systems
"Purificato, Antonio; Cassarà, Giulia; Siciliano, Federico; Liò, Pietro; Silvestri, Fabrizio;
2023
arXiv preprint arXiv:2304.09097
Adata-driven approach reveals emerging risk factors for recurrent and persistent differentiated thyroid cancer
Gentili, Michele; Grani, Giorgio; Siciliano, Federico;
2022
Endocrine Abstracts
Comparing long short-term memory and convolutional neural networks in SYM-H index forecasting
Siciliano, Federico; Consolini, Giuseppe; Giannattasio, Fabio;
2022
EGU General Assembly Conference Abstracts
Newron: a new generalization of the artificial neuron to enhance the interpretability of neural networks
Siciliano, Federico; Bucarelli, Maria Sofia; Tolomei, Gabriele; Silvestri, Fabrizio;
2022
2022 International Joint Conference on Neural Networks (IJCNN)
FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection
Barnabò, Giorgio; Siciliano, Federico; Castillo, Carlos; Leonardi, Stefano; Nakov, Preslav; Da San Martino, Giovanni; Silvestri, Fabrizio;
2022
2022 International Joint Conference on Neural Networks (IJCNN)
Encoding Concepts in Graph Neural Networks
Magister, Lucie Charlotte; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Lio, Pietro;
2022
arXiv preprint arXiv:2207.13586
Leveraging Deep Learning models to assess the temporal validity of Emotional Text Mining procedures
Greco, F; Polli, A; Siciliano, F;
2022
JADT 2022 Proceedings: 16th International Conference on Statistical Analysis of Textual Data
Forecasting SYM‐H Index: A Comparison Between Long Short‐Term Memory and Convolutional Neural Networks
Siciliano, F; Consolini, Giuseppe; Tozzi, Roberta; Gentili, M; Giannattasio, Fabio; De Michelis, Paola;
2021
Space Weather
Shape registration in the time of transformers
Trappolini, Giovanni; Cosmo, Luca; Moschella, Luca; Marin, Riccardo; Melzi, Simone; Rodolà, Emanuele;
2021
Advances in Neural Information Processing Systems
Towards precise completion of deformable shapes
Halimi, Oshri; Imanuel, Ido; Litany, Or; Trappolini, Giovanni; Rodolà, Emanuele; Guibas, Leonidas; Kimmel, Ron;
2020
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXIV 16
Multiresolution Topological Data Analysis for Robust Activity Tracking
Trappolini, Giovanni; Padellini, Tullia; Brutti, Pierpaolo;
2019
Smart Statistics for Smart Applications. Book of Short Papers SIS2019
Reconstruction of F-Region Electric Current Densities from more than 2 Years of Swarm Satellite Magnetic data
Tozzi, Roberta; Pezzopane, Michael; De Michelis, Paola; Pignalberi, Alessio; Siciliano, Federico;
2016
AGU Fall Meeting Abstracts
Sheaf Hypergraph Networks
Duta, Iulia; Cassarà, Giulia; Silvestri, Fabrizio; Liò, Pietro
arXiv preprint arXiv:2309.17116
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