SRL4E - Semantic Role Labeling for Emotions: A Unified Evaluation Framework. - Cesare Campagnano; Simone Conia; Roberto Navigli (ACL (1), 2022)

XL-WA: a Gold Evaluation Benchmark for Word Alignment in 14 Language Pairs. - Federico Martelli; Andrei Stefan Bejgu; Cesare Campagnano; Jaka Cibej; Rute Costa; Apolonija Gantar; Jelena Kallas; Svetla Peneva Koeva; Kristina Koppel; Simon Krek; Margit Langemets; Veronika Lipp; et al. (CLiC-it, 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)

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)

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 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)

∇ τ: Gradient-based and Task-Agnostic machine Unlearning. - Daniel Trippa; Cesare Campagnano; Maria Sofia Bucarelli; Gabriele Tolomei; Fabrizio Silvestri (CoRR, 2024)

Natural Language Counterfactual Explanations for Graphs Using Large Language Models. - Flavio Giorgi; Cesare Campagnano; Fabrizio Silvestri; Gabriele Tolomei (AISTATS, 2025)

E2Rank: Efficient and Effective Layer-Wise Reranking. - Cesare Campagnano; Antonio Mallia; Jack Pertschuk; Fabrizio Silvestri (ECIR (3), 2025)

Unveiling DIME: Reproducibility, Generalizability, and Formal Analysis of Dimension Importance Estimation for Dense Retrieval. - Cesare Campagnano; Antonio Mallia; Fabrizio Silvestri (SIGIR, 2025)