Aurora Gensale

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 40^th cycle (2024-2027)
Department of Control and Computer Engineering (DAUIN)

Adjunct lecturer/Adjunct instructor
Department of Control and Computer Engineering (DAUIN)

aurora.gensale@polito.it

Profile

PhD

Research topic

Knowledge-grounded data generation for reliable and scalable AI

Tutors

Keywords

Data science, Computer vision and AI

Biography

I am a PhD student in Control and Computer Engineering, with an MS degree in Data Science and Engineering from the Polytechnic of Turin (December 2023). As part of the DBDMG research group, my work investigates how Large Language Models (LLMs), integrated into structured pipelines, can align their outputs with domain constraints, e.g., for generating high-quality synthetic data or enhancing knowledge-informed models and agentic systems.

Awards and Honors

Best Description Paper Award Task 9 @ Semeval-2025 Workshop (ACL 2025) (2025)

Teaching

Teachings

Bachelor of Science

Basi di dati. A.A. 2025/26, INGEGNERIA GESTIONALE. Collaboratore del corso
Basi di dati. A.A. 2024/25, INGEGNERIA GESTIONALE. Collaboratore del corso

MostraNascondi A.A. passati

Research

Research Areas/Fields/Groups

DBDM - Database and Data Mining Group (DAUIN)

Publications

Latest publications View all publications in Porto@Iris

Gensale, Aurora; Esposito, Giuseppe; Guerrero-Balaguera, Juan-David; Condia, Josie E. ... (2026)
From Prompts to Pressure: Evaluating LLM-driven Agents for GPU Stress-code Generation. In: 32nd International Symposium on On-Line Testing and Robust System Design, IOLTS 2026, Polignano a Mare (ITA), 01-03 July 2026, pp. 1-7. ISBN: 979-8-3315-4685-4
Contributo in Atti di Convegno (Proceeding)
Bayat, Erfan; Gensale, Aurora; Cagliero, Luca (2026)
Adversarial Generation of Multi-Turn Debates for Hate Speech Mitigation via Retrieval-Augmented Generation. In: 2026 IEEE 50th Annual Computers, Software, and Applications Conference (COMPSAC), Madrid (ESP), 07-10 July 2026, pp. 1443-1452. ISBN: 979-8-3315-4497-3
Contributo in Atti di Convegno (Proceeding)
Gensale, Aurora; Cagliero, Luca; Basile, Cataldo; Garza, Paolo; Ferrua, Luca (2026)
Efficient Retrieval-Augmented Generation for Vulnerability Assessment and Penetration Testing in Automotive Engineering. In: ALGORITHMS, vol. 19. ISSN 1999-4893
Contributo su Rivista
Gensale, Aurora; Benedetto, Irene; Gioacchini, Luca; Bosca, Alessio; Cagliero, Luca (2025)
BitsAndBites at SemEval-2025 Task 9: Improving Food Hazard Detection with Sequential Multitask Learning and Large Language Models. In: 19th International Workshop on Semantic Evaluation (SemEval-2025), Vienna (AT), July 31 - August 1, 2025, pp. 718-725. ISBN: 979-8-89176-273-2
Contributo in Atti di Convegno (Proceeding)
Gensale, Aurora; Basile, Cataldo; Cagliero, Luca; Garza, Paolo; Ferrua, Luca; Faranda ... (2024)
Retrieval augmented generation to support cybersecurity verification in automotive engineering. In: 22th escar Europe : The World's Leading Automotive Cyber Security Conference, Dortmund (DE), 19-20 November 2024
Contributo in Atti di Convegno (Proceeding)