Luca Di Liello

17 papers A* 2Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Semantic Loss Functions for Neuro-Symbolic Structured Prediction.
CoRR
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
2023 — conf
Context-Aware Transformer Pre-Training for Answer Sentence Selection.
ACL (2)
Luca Di Liello, Siddhant Garg, Alessandro Moschitti
2023 J jnl
Context-Aware Transformer Pre-Training for Answer Sentence Selection.
CoRR
Luca Di Liello, Siddhant Garg, Alessandro Moschitti
2023 — ch.
Semantic Loss Functions for Neuro-Symbolic Structured Prediction.
Compendium of Neurosymbolic Artificial Intelligence
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
2023 J jnl
Structural Self-Supervised Objectives for Transformers.
CoRR
Luca Di Liello
2022 J jnl
Effective Pre-Training Objectives for Transformer-based Autoencoders.
CoRR
Luca Di Liello, Matteo Gabburo, Alessandro Moschitti
2022 — conf
Effective Pretraining Objectives for Transformer-based Autoencoders.
EMNLP (Findings)
Luca Di Liello, Matteo Gabburo, Alessandro Moschitti
2022 — conf
Paragraph-based Transformer Pre-training for Multi-Sentence Inference.
NAACL-HLT
Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti
2022 J jnl
Paragraph-based Transformer Pre-training for Multi-Sentence Inference.
CoRR
Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti
2022 A* conf
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection.
EMNLP
Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti
2022 J jnl
Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection.
CoRR
Luca Di Liello, Siddhant Garg, Luca Soldaini, Alessandro Moschitti
2022 J jnl
TorchMetrics - Measuring Reproducibility in PyTorch.
J. Open Source Softw.
Nicki Skafte Detlefsen, Jirí Borovec, Justus Schock, Ananya Harsh Jha, Teddy Koker, Luca Di Liello, Daniel Stancl, Changsheng Quan, Maxim Grechkin, William Falcon
2021 J jnl
Efficient pre-training objectives for Transformers.
CoRR
Luca Di Liello, Matteo Gabburo, Alessandro Moschitti
2021 — conf
Language Transfer for Identifying Diagnostic Paragraphs in Clinical Notes.
CLiC-it
Luca Di Liello, Olga Uryupina, Alessandro Moschitti
2020 — conf
Cross-Language Transformer Adaptation for Frequently Asked Questions.
CLiC-it
Luca Di Liello, Daniele Bonadiman, Alessandro Moschitti, Cristina Giannone, Andrea Favalli, Raniero Romagnoli
2020 A* conf
Efficient Generation of Structured Objects with Constrained Adversarial Networks.
NeurIPS
Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, Andrea Passerini
2020 J jnl
Efficient Generation of Structured Objects with Constrained Adversarial Networks.
CoRR
Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Paolo Morettin, Stefano Teso, Andrea Passerini