Towards Precise Completion of Deformable Shapes. - Oshri Halimi; Ido Imanuel; Or Litany; Giovanni Trappolini; Emanuele Rodolà; Leonidas J. Guibas; Ron Kimmel (ECCV (24), 2020)

The Whole Is Greater Than the Sum of Its Nonrigid Parts. - Oshri Halimi; Ido Imanuel; Or Litany; Giovanni Trappolini; Emanuele Rodolà; Leonidas J. Guibas; Ron Kimmel (CoRR, 2020)

Shape Registration in the Time of Transformers. - Giovanni Trappolini; Luca Cosmo; Luca Moschella; Riccardo Marin; Simone Melzi; Emanuele Rodolà (NeurIPS, 2021)

RRAML: Reinforced Retrieval Augmented Machine Learning. - Andrea Bacciu; Florin Cuconasu; Federico Siciliano; Fabrizio Silvestri; Nicola Tonellotto; Giovanni Trappolini (DP@AI*IA, 2023)

Prompt-to-OS (P2OS): Revolutionizing Operating Systems and Human-Computer Interaction with Integrated AI Generative Models. - Gabriele Tolomei; Cesare Campagnano; Fabrizio Silvestri; Giovanni Trappolini (CogMI, 2023)

Fauno: The Italian Large Language Model that will leave you senza parole! - Andrea Bacciu; Giovanni Trappolini; Andrea Santilli; Emanuele Rodolà; Fabrizio Silvestri (IIR, 2023)

FLIRT: Federated Learning for Information Retrieval. - Fabio Pinelli; Gabriele Tolomei; Giovanni Trappolini (SIGIR, 2023)

Multimodal Neural Databases. - Giovanni Trappolini; Andrea Santilli; Emanuele Rodolà; Alon Y. Halevy; Fabrizio Silvestri (SIGIR, 2023)

Renormalized Graph Neural Networks. - Francesco Caso; Giovanni Trappolini; Andrea Bacciu; Pietro Liò; Fabrizio Silvestri (CoRR, 2023)

CycleDRUMS: automatic drum arrangement for bass lines using CycleGAN. - Giorgio Barnabò; Giovanni Trappolini; Lorenzo Lastilla; Cesare Campagnano; Angela Fan; Fabio Petroni; Fabrizio Silvestri (Discov. Artif. Intell., 2023)

DanteLLM: Let's Push Italian LLM Research Forward! - Andrea Bacciu; Cesare Campagnano; Giovanni Trappolini; Fabrizio Silvestri (LREC/COLING, 2024)

TEXT2TASTE: A Versatile Egocentric Vision System for Intelligent Reading Assistance Using Large Language Model. - Wiktor Mucha; Florin Cuconasu; Naome A. Etori; Valia Kalokyri; Giovanni Trappolini (ICCHP (2), 2024)

Rethinking Relevance: How Noise and Distractors Impact Retrieval-Augmented Generation. - Florin Cuconasu; Giovanni Trappolini; Federico Siciliano; Simone Filice; Cesare Campagnano; Yoelle Maarek; Nicola Tonellotto; Fabrizio Silvestri (IIR, 2024)

The Impact of Source-Target Node Distance on Vicious Adversarial Attacks in Social Network Recommendation Systems. - Federico Albanese; Giovanni Trappolini; Lorenzo Scarlino; Fabrizio Silvestri (IRonGraphs, 2024)

The Power of Noise: Redefining Retrieval for RAG Systems. - Florin Cuconasu; Giovanni Trappolini; Federico Siciliano; Simone Filice; Cesare Campagnano; Yoelle Maarek; Nicola Tonellotto; Fabrizio Silvestri (SIGIR, 2024)

IR-RAG @ SIGIR24: Information Retrieval's Role in RAG Systems. - Fabio Petroni; Federico Siciliano; Fabrizio Silvestri; Giovanni Trappolini (SIGIR, 2024)

A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems. - Florin Cuconasu; Giovanni Trappolini; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

ECLIPSE: Contrastive Dimension Importance Estimation with Pseudo-Irrelevance Feedback for Dense Retrieval. - Giulio D'Erasmo; Giovanni Trappolini; Nicola Tonellotto; Fabrizio Silvestri (CoRR, 2024)

Sparse Vicious Attacks on Graph Neural Networks. - Giovanni Trappolini; Valentino Maiorca; Silvio Severino; Emanuele Rodolà; Fabrizio Silvestri; Gabriele Tolomei (IEEE Trans. Artif. Intell., 2024)

Report on the 1st Workshop on Information Retrieval's Role in RAG Systems (IR-RAG 2024) at SIGIR 2024. - Fabio Petroni; Federico Siciliano; Fabrizio Silvestri; Giovanni Trappolini (SIGIR Forum, 2024)

IR-RAG @SIGIR25: The Second Edition of the Workshop on Information Retrieval's Role in RAG Systems. - Negar Arabzadeh; Ziheng Chen 002; Fabio Petroni; Federico Siciliano; Fabrizio Silvestri; Giovanni Trappolini (SIGIR, 2025)

A Reproducible Analysis of Sequential Recommender Systems. - Filippo Betello; Antonio Purificato; Federico Siciliano; Giovanni Trappolini; Andrea Bacciu; Nicola Tonellotto; Fabrizio Silvestri (IEEE Access, 2025)

Quantized Auto Encoder-Based Anomaly Detection for Multivariate Time Series Data in 5G Networks. - Giovanni Trappolini; Antonio Purificato; Federico Siciliano; Luigi D'Addona; Anna Maria Spagnolo; Domenico Dato; Fabrizio Silvestri (IEEE Access, 2025)