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Andrea Bacciu
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2020 – today
- 2024
- [c8]Andrea Bacciu, Cesare Campagnano, Giovanni Trappolini, Fabrizio Silvestri:
DanteLLM: Let's Push Italian LLM Research Forward! LREC/COLING 2024: 4343-4355 - [c7]Andrea Bacciu, Marco Damonte, Marco Basaldella, Emilio Monti:
Handling Ontology Gaps in Semantic Parsing. *SEM@NAACL 2024: 345-359 - [i8]Andrea Bacciu, Enrico Palumbo, Andreas Damianou, Nicola Tonellotto, Fabrizio Silvestri:
Generating Query Recommendations via LLMs. CoRR abs/2405.19749 (2024) - [i7]Andrea Bacciu, Marco Damonte, Marco Basaldella, Emilio Monti:
Handling Ontology Gaps in Semantic Parsing. CoRR abs/2406.19537 (2024) - [i6]Filippo Betello, Antonio Purificato, Federico Siciliano, Giovanni Trappolini, Andrea Bacciu, Nicola Tonellotto, Fabrizio Silvestri:
A Reproducible Analysis of Sequential Recommender Systems. CoRR abs/2408.03873 (2024) - 2023
- [c6]Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini:
RRAML: Reinforced Retrieval Augmented Machine Learning. DP@AI*IA 2023: 29-37 - [c5]Andrea Bacciu, Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Fabrizio Silvestri:
Fauno: The Italian Large Language Model that will leave you senza parole! IIR 2023: 9-17 - [c4]Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri:
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. RecSys 2023: 1114-1119 - [i5]Andrea Bacciu, Federico Siciliano, Nicola Tonellotto, Fabrizio Silvestri:
Integrating Item Relevance in Training Loss for Sequential Recommender Systems. CoRR abs/2305.10824 (2023) - [i4]Francesco Caso, Giovanni Trappolini, Andrea Bacciu, Pietro Liò, Fabrizio Silvestri:
Renormalized Graph Neural Networks. CoRR abs/2306.00707 (2023) - [i3]Andrea Bacciu, Giovanni Trappolini, Andrea Santilli, Emanuele Rodolà, Fabrizio Silvestri:
Fauno: The Italian Large Language Model that will leave you senza parole! CoRR abs/2306.14457 (2023) - [i2]Andrea Bacciu, Florin Cuconasu, Federico Siciliano, Fabrizio Silvestri, Nicola Tonellotto, Giovanni Trappolini:
RRAML: Reinforced Retrieval Augmented Machine Learning. CoRR abs/2307.12798 (2023) - 2022
- [j2]Danilo Avola, Andrea Bacciu, Luigi Cinque, Alessio Fagioli, Marco Raoul Marini, Riccardo Taiello:
Study on transfer learning capabilities for pneumonia classification in chest-x-rays images. Comput. Methods Programs Biomed. 221: 106833 (2022) - 2021
- [c3]Simone Conia, Andrea Bacciu, Roberto Navigli:
Unifying Cross-Lingual Semantic Role Labeling with Heterogeneous Linguistic Resources. NAACL-HLT 2021: 338-351 - [i1]Danilo Avola, Andrea Bacciu, Luigi Cinque, Alessio Fagioli, Marco Raoul Marini, Riccardo Taiello:
Study on Transfer Learning Capabilities for Pneumonia Classification in Chest-X-Rays Image. CoRR abs/2110.02780 (2021)
2010 – 2019
- 2019
- [j1]Giulia Puggioni, Giammario Calia, Paola Arrigo, Andrea Bacciu, Gianfranco Bazzu, Rossana Migheli, Silvia Fancello, Pier Andrea Serra, Gaia Rocchitta:
Low-Temperature Storage Improves the Over-Time Stability of Implantable Glucose and Lactate Biosensors. Sensors 19(2): 422 (2019) - [c2]Andrea Bacciu, Massimo La Morgia, Alessandro Mei, Eugenio Nerio Nemmi, Valerio Neri, Julinda Stefa:
Bot and Gender Detection of Twitter Accounts Using Distortion and LSA. CLEF (Working Notes) 2019 - [c1]Andrea Bacciu, Massimo La Morgia, Alessandro Mei, Eugenio Nerio Nemmi, Valerio Neri, Julinda Stefa:
Cross-Domain Authorship Attribution Combining Instance Based and Profile-Based Features. CLEF (Working Notes) 2019
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