Simone Papicchio

Dottorando in Ingegneria Informatica E Dei Sistemi , 39^o ciclo (2023-2026)
Dipartimento di Automatica e Informatica (DAUIN)

Profilo

Dottorato di ricerca

Argomento di ricerca

Tecniche di contrastive learning per la rappresentazione di dati tabulari.

Tutori

Luca Cagliero
Paolo Papotti

Presentazione della ricerca

Poster

Interessi di ricerca

Data science, Computer vision and AI

Biografia

Simone Papicchio is a second-year PhD student specializing in Natural Language Processing and Databases at Politecnico di Torino and EURECOM. His research centers on advanced AI and NLP solutions for workflow automation, database optimization, and multimodal data processing. My background includes research work as a scientist intern at Megagon Labs in Mountain View and practical experience in machine learning engineering at Toyota Motor Europe in Brussels.

Didattica

Insegnamenti

Corso di laurea magistrale

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

MostraNascondi A.A. passati

Ricerca

Gruppi di ricerca

DBDM - Database and Data Mining Group (DAUIN)

Pubblicazioni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su 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)