Giacomo Frisoni
Orcid: 0000-0002-9845-0231
According to our database1,
Giacomo Frisoni authored at least 33 papers
between 2020 and 2026.
Collaborative distances:
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Bibliography
2026
CoRR, February, 2026
Neural Networks, 2026
OpenBioNER-v2: A suite of lightweight models for zero-shot medical named entity recognition via type descriptions.
Expert Syst. Appl., 2026
Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
LAWSUIT: a LArge expert-Written SUmmarization dataset of ITalian constitutional court verdicts.
Artif. Intell. Law, December, 2025
OpenBioNER: Lightweight Open-Domain Biomedical Named Entity Recognition Through Entity Type Description.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
Enhancing Representation Learning for Content-Based Information Retrieval: A Knowledge-Enhanced Geometric Approach.
Proceedings of the Knowledge-Enhanced Information Retrieval, 2025
PORTS: Preference-Optimized Retrievers for Tool Selection with Large Language Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the Advances in Information Retrieval, 2025
FEAST: Retrieval-Augmented Multi-Hierarchical Food Classification for the FoodEx2 System.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025
Predicting Protein Functions with Ensemble Deep Learning and Protein Language Models.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025
Magic Mirror on the Wall, Which Is the Fairest Prompt of All? A Survey on Automatic Prompt Learning.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025
Proceedings of the Findings of the Association for Computational Linguistics, 2025
2024
[Emoji] Evidence, my Dear Watson: Abstractive dialogue summarization on learnable relevant utterances.
Neurocomputing, March, 2024
Proceedings of the 32nd Symposium of Advanced Database Systems, 2024
Unknown Claims: Generation of Fact-Checking Training Examples from Unstructured and Structured Data.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
SN Comput. Sci., September, 2023
Efficient text-image semantic search: A multi-modal vision-language approach for fashion retrieval.
Neurocomputing, June, 2023
Efficient Memory-Enhanced Transformer for Long-Document Summarization in Low-Resource Regimes.
Sensors, April, 2023
Cogito Ergo Summ: Abstractive Summarization of Biomedical Papers via Semantic Parsing Graphs and Consistency Rewards.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models.
Sensors, 2022
Unsupervised Event Graph Representation and Similarity Learning on Biomedical Literature.
Sensors, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Enhancing Biomedical Scientific Reviews Summarization with Graph-based Factual Evidence Extracted from Papers.
Proceedings of the 11th International Conference on Data Science, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
A Survey on Event Extraction for Natural Language Understanding: Riding the Biomedical Literature Wave.
IEEE Access, 2021
2020
Proceedings of the Research and Innovation Forum 2020, 2020
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020
Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining.
Proceedings of the 9th International Conference on Data Science, 2020
Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge.
Proceedings of the Data Management Technologies and Applications, 2020