Simone Papicchio

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39^th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)

Profile

PhD

Research topic

Contrastive representation learning for tabular data.

Tutors

Luca Cagliero
Paolo Papotti

Research presentation

Poster

Research interests

Data science, Computer vision and AI

Biography

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.

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

MostraNascondi A.A. passati

Research

Research groups

DBDM - Database and Data Mining Group (DAUIN)

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)