Cross-Language Transformer Adaptation for Frequently Asked Questions. - Luca Di Liello; Daniele Bonadiman; Alessandro Moschitti; Cristina Giannone; Andrea Favalli; Raniero Romagnoli (CLiC-it, 2020)

Efficient Generation of Structured Objects with Constrained Adversarial Networks. - Luca Di Liello; Pierfrancesco Ardino; Jacopo Gobbi; Paolo Morettin; Stefano Teso; Andrea Passerini (NeurIPS, 2020)

Language Transfer for Identifying Diagnostic Paragraphs in Clinical Notes. - Luca Di Liello; Olga Uryupina; Alessandro Moschitti (CLiC-it, 2021)

Efficient pre-training objectives for Transformers. - Luca Di Liello; Matteo Gabburo; Alessandro Moschitti (CoRR, 2021)

Effective Pretraining Objectives for Transformer-based Autoencoders. - Luca Di Liello; Matteo Gabburo; Alessandro Moschitti (EMNLP (Findings), 2022)

Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection. - Luca Di Liello; Siddhant Garg; Luca Soldaini; Alessandro Moschitti (EMNLP, 2022)

Paragraph-based Transformer Pre-training for Multi-Sentence Inference. - Luca Di Liello; Siddhant Garg; Luca Soldaini; Alessandro Moschitti (NAACL-HLT, 2022)

Effective Pre-Training Objectives for Transformer-based Autoencoders. - Luca Di Liello; Matteo Gabburo; Alessandro Moschitti (CoRR, 2022)

TorchMetrics - Measuring Reproducibility in PyTorch. - Nicki Skafte Detlefsen; Jirí Borovec; Justus Schock; Ananya Harsh Jha; Teddy Koker; Luca Di Liello; Daniel Stancl; Changsheng Quan; Maxim Grechkin; William Falcon (J. Open Source Softw., 2022)

Context-Aware Transformer Pre-Training for Answer Sentence Selection. - Luca Di Liello; Siddhant Garg; Alessandro Moschitti (ACL (2), 2023)

Structural Self-Supervised Objectives for Transformers. - Luca Di Liello (CoRR, 2023)

Semantic Loss Functions for Neuro-Symbolic Structured Prediction. - Kareem Ahmed; Stefano Teso; Paolo Morettin; Luca Di Liello; Pierfrancesco Ardino; Jacopo Gobbi; Yitao Liang; Eric Wang; Kai-Wei Chang; Andrea Passerini; Guy Van den Broeck (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Semantic Loss Functions for Neuro-Symbolic Structured Prediction. - Kareem Ahmed; Stefano Teso; Paolo Morettin; Luca Di Liello; Pierfrancesco Ardino; Jacopo Gobbi; Yitao Liang; Eric Wang; Kai-Wei Chang; Andrea Passerini; Guy Van den Broeck (CoRR, 2024)