| 2026 | ICTIR | A Comprehensive Taxonomy of Temporal Dimensions in Natural Language Queries. | Ivano Lauriola |
| 2026 | SIGIR | Layer-wise Token Compression for Efficient Document Reranking. | Shengyao Zhuang, Zhichao Xu, Ivano Lauriola |
| 2025 | IJCNLP | Improving Document Retrieval Coherence for Semantically Equivalent Queries. | Stefano Campese, Alessandro Moschitti, Ivano Lauriola |
| 2025 | NAACL | Analyzing and Improving Coherence of Large Language Models in Question Answering. | Ivano Lauriola, Stefano Campese, Alessandro Moschitti |
| 2024 | EACL | Pre-Training Methods for Question Reranking. | Stefano Campese, Ivano Lauriola, Alessandro Moschitti |
| 2023 | ACL | Accurate Training of Web-based Question Answering Systems with Feedback from Ranked Users. | Liang Wang, Ivano Lauriola, Alessandro Moschitti |
| 2023 | EMNLP | QUADRo: Dataset and Models for QUestion-Answer Database Retrieval. | Stefano Campese, Ivano Lauriola, Alessandro Moschitti |
| 2022 | EMNLP | FocusQA: Open-Domain Question Answering with a Context in Focus. | Gianni Barlacchi, Ivano Lauriola, Alessandro Moschitti, Marco Del Tredici, Xiaoyu Shen, Thuy Vu, Bill Byrne, Adri de Gispert |
| 2022 | LREC | Building a Dataset for Automatically Learning to Detect Questions Requiring Clarification. | Ivano Lauriola, Kevin Small, Alessandro Moschitti |
| 2021 | ECIR | Answer Sentence Selection Using Local and Global Context in Transformer Models. | Ivano Lauriola, Alessandro Moschitti |
| 2021 | IJCNN | Exploring the structure of BERT through Kernel Learning. | Ivano Lauriola, Alberto Lavelli, Alessandro Moschitti, Fabio Aiolli |
| 2020 | CogSci | Automatic Detection of Cross-language Verbal Deception. | Pasquale Capuozzo, Ivano Lauriola, Carlo Strapparava, Fabio Aiolli, Giuseppe Sartori |
| 2020 | ESANN | Exploring the feature space of character-level embeddings. | Ivano Lauriola, Stefano Campese, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli |
| 2020 | ESANN | Language processing in the era of deep learning. | Ivano Lauriola, Alberto Lavelli, Fabio Aiolli |
| 2020 | ICANN | Monotone Deep Spectrum Kernels. | Ivano Lauriola, Fabio Aiolli |
| 2020 | LREC | DecOp: A Multilingual and Multi-domain Corpus For Detecting Deception In Typed Text. | Pasquale Capuozzo, Ivano Lauriola, Carlo Strapparava, Fabio Aiolli, Giuseppe Sartori |
| 2019 | ICANN | Evaluation of Tag Clusterings for User Profiling in Movie Recommendation. | Guglielmo Faggioli, Mirko Polato, Ivano Lauriola, Fabio Aiolli |
| 2019 | ICANN | Playing the Large Margin Preference Game. | Mirko Polato, Guglielmo Faggioli, Ivano Lauriola, Fabio Aiolli |
| 2018 | ESANN | The minimum effort maximum output principle applied to Multiple Kernel Learning. | Ivano Lauriola, Mirko Polato, Fabio Aiolli |
| 2018 | ICANN | Learning Preferences for Large Scale Multi-label Problems. | Ivano Lauriola, Mirko Polato, Alberto Lavelli, Fabio Rinaldi, Fabio Aiolli |
| 2017 | ESANN | Fast hyperparameter selection for graph kernels via subsampling and multiple kernel learning. | Michele Donini, Nicol Navarin, Ivano Lauriola, Fabio Aiolli, Fabrizio Costa |
| 2017 | ESANN | Learning dot-product polynomials for multiclass problems. | Ivano Lauriola, Michele Donini, Fabio Aiolli |
| 2017 | ICANN | Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning. | Ivano Lauriola, Mirko Polato, Fabio Aiolli |
| 2017 | ICANN | Classification of Categorical Data in the Feature Space of Monotone DNFs. | Mirko Polato, Ivano Lauriola, Fabio Aiolli |