| 2026 | AAAI | Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting. | Giacomo Frisoni, Lorenzo Molfetta, Mattia Buzzoni, Gianluca Moro |
| 2025 | ACL | ZeroNER: Fueling Zero-Shot Named Entity Recognition via Entity Type Descriptions. | Alessio Cocchieri, Marcos Martnez Galindo, Giacomo Frisoni, Gianluca Moro, Claudio Sartori, Giuseppe Tagliavini |
| 2025 | ECAI | Magic Mirror on the Wall, Which Is the Fairest Prompt of All? A Survey on Automatic Prompt Learning. | Stefano Fantazzini, Giacomo Frisoni, Gianluca Moro, Luca Ragazzi, Mario Ciccioni, Claudio Sartori |
| 2025 | ECAI | Predicting Protein Functions with Ensemble Deep Learning and Protein Language Models. | Giacomo Frisoni, Marcello Fuschi, Gianluca Moro |
| 2025 | ECAI | FEAST: Retrieval-Augmented Multi-Hierarchical Food Classification for the FoodEx2 System. | Lorenzo Molfetta, Alessio Cocchieri, Stefano Fantazzini, Giacomo Frisoni, Luca Ragazzi, Gianluca Moro |
| 2025 | ECIR | KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval. | Zihan Wang, Jinyuan Fang, Giacomo Frisoni, Zhuyun Dai, Zaiqiao Meng, Gianluca Moro, Emine Yilmaz |
| 2025 | EMNLP | PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models. | Lorenzo Molfetta, Giacomo Frisoni, Nicol Monaldini, Gianluca Moro |
| 2025 | NAACL | OpenBioNER: Lightweight Open-Domain Biomedical Named Entity Recognition Through Entity Type Description. | Alessio Cocchieri, Giacomo Frisoni, Marcos Martnez Galindo, Gianluca Moro, Giuseppe Tagliavini, Francesco Candoli |
| 2024 | ACL | To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering. | Giacomo Frisoni, Alessio Cocchieri, Alex Presepi, Gianluca Moro, Zaiqiao Meng |
| 2024 | EMNLP | Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data. | Jean-Flavien Bussotti, Luca Ragazzi, Giacomo Frisoni, Gianluca Moro, Paolo Papotti |
| 2023 | AAAI | Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards. | Giacomo Frisoni, Paolo Italiani, Stefano Salvatori, Gianluca Moro |
| 2022 | COLING | NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation. | Giacomo Frisoni, Antonella Carbonaro, Gianluca Moro, Andrea Zammarchi, Marco Avagnano |
| 2022 | COLING | Text-to-Text Extraction and Verbalization of Biomedical Event Graphs. | Giacomo Frisoni, Gianluca Moro, Lorenzo Balzani |
| 2022 | DATA | Enhancing Biomedical Scientific Reviews Summarization with Graph-based Factual Evidence Extracted from Papers. | Giacomo Frisoni, Paolo Italiani, Francesco Boschi, Gianluca Moro |
| 2022 | EMNLP | BioReader: a Retrieval-Enhanced Text-to-Text Transformer for Biomedical Literature. | Giacomo Frisoni, Miki Mizutani, Gianluca Moro, Lorenzo Valgimigli |
| 2020 | DATA | Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge. | Giacomo Frisoni, Gianluca Moro |
| 2020 | DATA | Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining. | Giacomo Frisoni, Gianluca Moro, Antonella Carbonaro |
| 2020 | IC3K | Unsupervised Descriptive Text Mining for Knowledge Graph Learning. | Giacomo Frisoni, Gianluca Moro, Antonella Carbonaro |