Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Tutors
- Luca Cagliero
- Paolo Papotti
Teaching
Teachings
Master of Science
- Distributed architectures for big data processing and analytics. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
- Data science lab: process and methods. A.A. 2023/24, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Research
Research groups
Publications
Latest publications View all publications in Porto@Iris
- Papicchio, Simone; Papotti, Paolo; Cagliero, Luca (2025)
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data. In: ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, vol. 16, pp. 1-26. ISSN 2157-6904
Contributo su Rivista - Feng, Yanlin; Papicchio, Simone; Rahman, Sajjadur (2025)
CypherBench: Towards Precise Retrieval over Full-scale Modern Knowledge Graphs in the LLM Era. In: Association for Computational Linguistics, Vienna (AT), July 27 - August 1, 2025, pp. 8934-8958. ISBN: 979-8-89176-251-0
Contributo in Atti di Convegno (Proceeding) - Papicchio, S.; Papotti, P.; Cagliero, L. (2024)
Evaluating Ambiguous Questions in Semantic Parsing. In: 40th IEEE International Conference on Data Engineering Workshops, ICDEW 2024, Utrecht (NLD), 13-16 May 2024, pp. 338-342. ISBN: 979-8-3503-8403-1
Contributo in Atti di Convegno (Proceeding) - Gallipoli, Giuseppe; Papicchio, Simone; Vaiani, Lorenzo; Cagliero, Luca; Miola, Arianna; ... (2024)
Keyword-based Annotation of Visually-Rich Document Content for Trend and Risk Analysis using Large Language Models. In: The Joint Workshop of the 7th Financial Technology and Natural Language Processing (FinNLP), the 5th Knowledge Discovery from Unstructured Data in Financial Services (KDF), and the 4th Economics and Natural Language Processing (ECONLP) Workshop (FinNLP-KD, Turin (ITA), 20 May, 2024, pp. 130-136
Contributo in Atti di Convegno (Proceeding) - Papicchio, S.; Papotti, P.; Cagliero, L. (2023)
QATCH: Benchmarking SQL-centric tasks with Table Representation Learning Models on Your Data. In: 37th Conference on Neural Information Processing Systems, NeurIPS 2023, New Orleans, LA (USA), 2023. ISSN 1049-5258
Contributo in Atti di Convegno (Proceeding)