publications | Giacomo Frisoni

An always up-to-date list is available on Google Scholar and DBLP.

2026

Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting

Giacomo Frisoni, L. Molfetta, M. Buzzoni, and 1 more author

In Proceedings of the AAAI Conference on Artificial Intelligence, 2026

@inproceedings{frisoni2026graphofmark,
  title = {Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting},
  author = {Frisoni, Giacomo and Molfetta, L. and Buzzoni, M. and Moro, G.},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {40},
  number = {36},
  pages = {30726--30734},
  year = {2026}
}

AIL

COMMA: A Multi-Task and Multi-Lingual Dataset of Constitutional Verdicts

L. Ragazzi, Giacomo Frisoni, G. Moro, and 3 more authors

Artificial Intelligence and Law, 2026

Bib

@article{ragazzi2026comma,
  title = {COMMA: A Multi-Task and Multi-Lingual Dataset of Constitutional Verdicts},
  author = {Ragazzi, L. and Frisoni, Giacomo and Moro, G. and Italiani, P. and Molfetta, L. and Folin, V.},
  journal = {Artificial Intelligence and Law},
  pages = {1--55},
  year = {2026}
}

ESWA

OpenBioNER-v2: A Suite of Lightweight Models for Zero-Shot Medical Named Entity Recognition via Type Descriptions

A. Cocchieri, Giacomo Frisoni, F. Zangrillo, and 4 more authors

Expert Systems with Applications, 2026

Bib

@article{cocchieri2026openbionerv2,
  title = {OpenBioNER-v2: A Suite of Lightweight Models for Zero-Shot Medical Named Entity Recognition via Type Descriptions},
  author = {Cocchieri, A. and Frisoni, Giacomo and Zangrillo, F. and Ragazzi, L. and Galindo, M. M. and Tagliavini, G. and Moro, G.},
  journal = {Expert Systems with Applications},
  pages = {131725},
  year = {2026}
}

arXiv

Mixture of Masters: Sparse Chess Language Models with Player Routing

Giacomo Frisoni, L. Molfetta, D. Freddi, and 1 more author

2026

Bib

@misc{frisoni2026mom,
  title = {Mixture of Masters: Sparse Chess Language Models with Player Routing},
  author = {Frisoni, Giacomo and Molfetta, L. and Freddi, D. and Moro, G.},
  howpublished = {arXiv},
  year = {2026}
}

2025

EMNLP

PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models

L. Molfetta, Giacomo Frisoni, N. Monaldini, and 1 more author

In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Bib

@inproceedings{molfetta2025ports,
  title = {PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models},
  author = {Molfetta, L. and Frisoni, Giacomo and Monaldini, N. and Moro, G.},
  booktitle = {Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing},
  pages = {10018--10041},
  year = {2025}
}

ACL

ZeroNER: Fueling Zero-Shot Named Entity Recognition via Entity Type Descriptions

A. Cocchieri, M. M. Galindo, Giacomo Frisoni, and 3 more authors

In Findings of the Association for Computational Linguistics: ACL 2025, 2025

Bib

@inproceedings{cocchieri2025zeroner,
  title = {ZeroNER: Fueling Zero-Shot Named Entity Recognition via Entity Type Descriptions},
  author = {Cocchieri, A. and Galindo, M. M. and Frisoni, Giacomo and Moro, G. and Sartori, C. and Tagliavini, G.},
  booktitle = {Findings of the Association for Computational Linguistics: ACL 2025},
  pages = {15594--15616},
  year = {2025}
}

NAACL

OpenBioNER: Lightweight Open-Domain Biomedical Named Entity Recognition Through Entity Type Description

A. Cocchieri, Giacomo Frisoni, M. M. Galindo, and 3 more authors

In Findings of the Association for Computational Linguistics: NAACL 2025, 2025

Bib

@inproceedings{cocchieri2025openbioner,
  title = {OpenBioNER: Lightweight Open-Domain Biomedical Named Entity Recognition Through Entity Type Description},
  author = {Cocchieri, A. and Frisoni, Giacomo and Galindo, M. M. and Moro, G. and Tagliavini, G. and Candoli, F.},
  booktitle = {Findings of the Association for Computational Linguistics: NAACL 2025},
  pages = {818--837},
  year = {2025}
}

ECAI

FEAST: Retrieval-Augmented Multi-Hierarchical Food Classification for the FoodEx2 System

L. Molfetta, A. Cocchieri, S. Fantazzini, and 3 more authors

In ECAI 2025, 2025

Bib

@inproceedings{molfetta2025feast,
  title = {FEAST: Retrieval-Augmented Multi-Hierarchical Food Classification for the FoodEx2 System},
  author = {Molfetta, L. and Cocchieri, A. and Fantazzini, S. and Frisoni, Giacomo and Ragazzi, L. and Moro, G.},
  booktitle = {ECAI 2025},
  pages = {4169--4176},
  publisher = {IOS Press},
  year = {2025}
}

ECAI

Magic Mirror on the Wall, Which Is the Fairest Prompt of All? A Survey on Automatic Prompt Learning

S. Fantazzini, Giacomo Frisoni, G. Moro, and 3 more authors

In ECAI 2025, 2025

Bib

@inproceedings{fantazzini2025magicmirror,
  title = {Magic Mirror on the Wall, Which Is the Fairest Prompt of All? A Survey on Automatic Prompt Learning},
  author = {Fantazzini, S. and Frisoni, Giacomo and Moro, G. and Ragazzi, L. and Ciccioni, M. and Sartori, C.},
  booktitle = {ECAI 2025},
  pages = {4444--4451},
  publisher = {IOS Press},
  year = {2025}
}

ECAI

Predicting Protein Functions with Ensemble Deep Learning and Protein Language Models

Giacomo Frisoni, M. Fuschi, and G. Moro

In ECAI 2025, 2025

Bib

@inproceedings{frisoni2025protein,
  title = {Predicting Protein Functions with Ensemble Deep Learning and Protein Language Models},
  author = {Frisoni, Giacomo and Fuschi, M. and Moro, G.},
  booktitle = {ECAI 2025},
  pages = {5139--5142},
  publisher = {IOS Press},
  year = {2025}
}

AIL

LAWSUIT: A Large Expert-Written Summarization Dataset of Italian Constitutional Court Verdicts

L. Ragazzi, G. Moro, S. Guidi, and 1 more author

Artificial Intelligence and Law, 2025

Bib

@article{ragazzi2025lawsuit,
  title = {LAWSUIT: A Large Expert-Written Summarization Dataset of Italian Constitutional Court Verdicts},
  author = {Ragazzi, L. and Moro, G. and Guidi, S. and Frisoni, Giacomo},
  journal = {Artificial Intelligence and Law},
  volume = {33},
  number = {4},
  pages = {1151--1187},
  year = {2025}
}

Abstractive Summarization through the Prism of Decoding Strategies

Giacomo Frisoni, L. Ragazzi, D. Cohen, and 3 more authors

Neural Networks, 2025

Bib

@article{frisoni2025decoding,
  title = {Abstractive Summarization through the Prism of Decoding Strategies},
  author = {Frisoni, Giacomo and Ragazzi, L. and Cohen, D. and Moro, G. and Carbonaro, A. and Sartori, C.},
  journal = {Neural Networks},
  pages = {108249},
  year = {2025}
}

Knowledge-Enhanced Information Retrieval

Z. Wang, J. Fang, Giacomo Frisoni, and 4 more authors

2025

Bib

@book{wang2025keir,
  title = {Knowledge-Enhanced Information Retrieval},
  author = {Wang, Z. and Fang, J. and Frisoni, Giacomo and Dai, Z. and Meng, Z. and Moro, G. and Yilmaz, E.},
  year = {2025}
}

KEIR

Enhancing Representation Learning for Content-Based Information Retrieval: A Knowledge-Enhanced Geometric Approach

M. Goyo, Giacomo Frisoni, G. Moro, and 1 more author

In International Workshop on Knowledge-Enhanced Information Retrieval, 2025

Bib

@inproceedings{goyo2025geometric,
  title = {Enhancing Representation Learning for Content-Based Information Retrieval: A Knowledge-Enhanced Geometric Approach},
  author = {Goyo, M. and Frisoni, Giacomo and Moro, G. and Sartori, C.},
  booktitle = {International Workshop on Knowledge-Enhanced Information Retrieval},
  pages = {36--68},
  publisher = {Springer Nature Switzerland},
  year = {2025}
}

2024

EMNLP

Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data

J. F. Bussotti, L. Ragazzi, Giacomo Frisoni, and 2 more authors

In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Bib

@inproceedings{bussotti2024unknown,
  title = {Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data},
  author = {Bussotti, J. F. and Ragazzi, L. and Frisoni, Giacomo and Moro, G. and Papotti, P.},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
  pages = {12105--12122},
  year = {2024}
}

ACL

To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering

Giacomo Frisoni, A. Cocchieri, A. Presepi, and 2 more authors

In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Bib

@inproceedings{frisoni2024medgenie,
  title = {To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering},
  author = {Frisoni, Giacomo and Cocchieri, A. and Presepi, A. and Moro, G. and Meng, Z.},
  booktitle = {Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  pages = {9878--9919},
  year = {2024}
}

NEUCOM

Evidence, my Dear Watson: Abstractive Dialogue Summarization on Learnable Relevant Utterances

P. Italiani, Giacomo Frisoni, G. Moro, and 2 more authors

Neurocomputing, 2024

Bib

@article{italiani2024evidence,
  title = {Evidence, my Dear Watson: Abstractive Dialogue Summarization on Learnable Relevant Utterances},
  author = {Italiani, P. and Frisoni, Giacomo and Moro, G. and Carbonaro, A. and Sartori, C.},
  journal = {Neurocomputing},
  volume = {572},
  pages = {127132},
  year = {2024}
}

SEBD

Refining Triplet Sampling for Improved Self-Supervised Representation Learning

M. Goyo, Giacomo Frisoni, G. Moro, and 1 more author

In SEBD, 2024

Bib

@inproceedings{goyo2024triplet,
  title = {Refining Triplet Sampling for Improved Self-Supervised Representation Learning},
  author = {Goyo, M. and Frisoni, Giacomo and Moro, G. and Sartori, C.},
  booktitle = {SEBD},
  pages = {227--246},
  year = {2024}
}

2023

AAAI

Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards

Giacomo Frisoni, P. Italiani, S. Salvatori, and 1 more author

In Proceedings of the AAAI Conference on Artificial Intelligence, 2023

Bib

@inproceedings{frisoni2023cogito,
  title = {Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards},
  author = {Frisoni, Giacomo and Italiani, P. and Salvatori, S. and Moro, G.},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {37},
  number = {11},
  pages = {12781--12789},
  year = {2023}
}

SNCS

Graph-Enhanced Biomedical Abstractive Summarization via Factual Evidence Extraction

Giacomo Frisoni, P. Italiani, G. Moro, and 3 more authors

SN Computer Science. Revised version of Best Student Paper Award , 2023

Bib

@article{frisoni2023graphenhanced,
  title = {Graph-Enhanced Biomedical Abstractive Summarization via Factual Evidence Extraction},
  author = {Frisoni, Giacomo and Italiani, P. and Moro, G. and Bartolini, I. and Boschetti, M. A. and Carbonaro, A.},
  journal = {SN Computer Science},
  volume = {4},
  number = {5},
  pages = {500},
  year = {2023},
}

NEUCOM

Efficient Text-Image Semantic Search: A Multi-Modal Vision-Language Approach for Fashion Retrieval

G. Moro, S. Salvatori, and Giacomo Frisoni

Neurocomputing, 2023

Bib

@article{moro2023fashion,
  title = {Efficient Text-Image Semantic Search: A Multi-Modal Vision-Language Approach for Fashion Retrieval},
  author = {Moro, G. and Salvatori, S. and Frisoni, Giacomo},
  journal = {Neurocomputing},
  volume = {538},
  pages = {126196},
  year = {2023}
}

Sensors

Efficient Memory-Enhanced Transformer for Long-Document Summarization in Low-Resource Regimes

G. Moro, L. Ragazzi, L. Valgimigli, and 3 more authors

Sensors, 2023

Bib

@article{moro2023memory,
  title = {Efficient Memory-Enhanced Transformer for Long-Document Summarization in Low-Resource Regimes},
  author = {Moro, G. and Ragazzi, L. and Valgimigli, L. and Frisoni, Giacomo and Sartori, C. and Marfia, G.},
  journal = {Sensors},
  volume = {23},
  number = {7},
  pages = {3542},
  year = {2023}
}

2022

EMNLP

BioReader: a Retrieval-Enhanced Text-to-Text Transformer for Biomedical Literature

Giacomo Frisoni, M. Mizutani, G. Moro, and 1 more author

In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Bib

@inproceedings{frisoni2022bioreader,
  title = {BioReader: a Retrieval-Enhanced Text-to-Text Transformer for Biomedical Literature},
  author = {Frisoni, Giacomo and Mizutani, M. and Moro, G. and Valgimigli, L.},
  booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing},
  pages = {5770--5793},
  year = {2022}
}

DATA

Enhancing Biomedical Scientific Reviews Summarization with Graph-Based Factual Evidence Extracted from Papers

Giacomo Frisoni, P. Italiani, F. Boschi, and 1 more author

In Proceedings of the 11th International Conference on Data Science, Technology and Applications. Best Student Paper Award , 2022

Bib

@inproceedings{frisoni2022enhancing,
  title = {Enhancing Biomedical Scientific Reviews Summarization with Graph-Based Factual Evidence Extracted from Papers},
  author = {Frisoni, Giacomo and Italiani, P. and Boschi, F. and Moro, G.},
  booktitle = {Proceedings of the 11th International Conference on Data Science, Technology and Applications},
  pages = {168--179},
  year = {2022},
}

COLING

Text-to-Text Extraction and Verbalization of Biomedical Event Graphs

Giacomo Frisoni, G. Moro, and L. Balzani

In Proceedings of the 29th International Conference on Computational Linguistics, 2022

Bib

@inproceedings{frisoni2022text2text,
  title = {Text-to-Text Extraction and Verbalization of Biomedical Event Graphs},
  author = {Frisoni, Giacomo and Moro, G. and Balzani, L.},
  booktitle = {Proceedings of the 29th International Conference on Computational Linguistics},
  pages = {2692--2710},
  year = {2022}
}

Electronics

Comprehensive Analysis of Knowledge Graph Embedding Techniques Benchmarked on Link Prediction

I. Ferrari, Giacomo Frisoni, P. Italiani, and 2 more authors

Electronics, 2022

Bib

@article{ferrari2022comprehensive,
  title = {Comprehensive Analysis of Knowledge Graph Embedding Techniques Benchmarked on Link Prediction},
  author = {Ferrari, I. and Frisoni, Giacomo and Italiani, P. and Moro, G. and Sartori, C.},
  journal = {Electronics},
  volume = {11},
  number = {23},
  pages = {3866},
  year = {2022}
}

Sensors

Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models

G. Moro, F. Di Luca, D. Dardari, and 1 more author

Sensors, 2022

Bib

@article{moro2022uwb,
  title = {Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models},
  author = {Moro, G. and Di Luca, F. and Dardari, D. and Frisoni, Giacomo},
  journal = {Sensors},
  volume = {22},
  number = {4},
  pages = {1656},
  year = {2022}
}

2021

Sensors

Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature

Giacomo Frisoni, G. Moro, G. Carlassare, and 1 more author

Sensors, 2021

Bib

@article{frisoni2021eventgraph,
  title = {Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature},
  author = {Frisoni, Giacomo and Moro, G. and Carlassare, G. and Carbonaro, A.},
  journal = {Sensors},
  volume = {22},
  number = {1},
  pages = {3},
  year = {2021}
}

IEEE Access

A Survey on Event Extraction for Natural Language Understanding: Riding the Biomedical Literature Wave

Giacomo Frisoni, G. Moro, and A. Carbonaro

IEEE Access, 2021

Bib

@article{frisoni2021survey,
  title = {A Survey on Event Extraction for Natural Language Understanding: Riding the Biomedical Literature Wave},
  author = {Frisoni, Giacomo and Moro, G. and Carbonaro, A.},
  journal = {IEEE Access},
  volume = {9},
  pages = {160721--160757},
  year = {2021}
}

Springer

Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge

Giacomo Frisoni and G. Moro

In Data Management Technologies and Applications. DATA 2020. Communications in Computer and Information Science. Revised version of Best Paper Award , 2021

Bib

@incollection{frisoni2021phenomena,
  title = {Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge},
  author = {Frisoni, Giacomo and Moro, G.},
  booktitle = {Data Management Technologies and Applications. DATA 2020. Communications in Computer and Information Science},
  volume = {1446},
  pages = {293--318},
  publisher = {Springer, Cham},
  year = {2021},
}

2020

KDIR

Unsupervised Descriptive Text Mining for Knowledge Graph Learning

Giacomo Frisoni, G. Moro, and A. Carbonaro

In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2020

Bib

@inproceedings{frisoni2020unsupervised,
  title = {Unsupervised Descriptive Text Mining for Knowledge Graph Learning},
  author = {Frisoni, Giacomo and Moro, G. and Carbonaro, A.},
  booktitle = {Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management},
  volume = {1},
  pages = {316--324},
  year = {2020}
}

DATA

Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining

Giacomo Frisoni, G. Moro, and A. Carbonaro

In Proceedings of the 9th International Conference on Data Science, Technology and Applications. Best Paper Award , 2020

Bib

@inproceedings{frisoni2020learning,
  title = {Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining},
  author = {Frisoni, Giacomo and Moro, G. and Carbonaro, A.},
  booktitle = {Proceedings of the 9th International Conference on Data Science, Technology and Applications},
  pages = {121--132},
  year = {2020},
}