Greta Dolcetti

Orcid: 0000-0002-2983-9251

According to our database1, Greta Dolcetti authored at least 14 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Helping LLMs improve code generation using feedback from testing and static analysis.
Discov. Artif. Intell., December, 2026

Blue Teaming Function-Calling Agents.
CoRR, January, 2026

PYRA : A high-level linter for data science software.
Knowl. Based Syst., 2026

A dual perspective review on large language models and code verification.
Frontiers Comput. Sci., 2026

2025
Faster Verified Explanations for Neural Networks.
CoRR, December, 2025

Dataset: PYRA: A High-level Linter for Data Science Software.
Dataset, December, 2025

Building a Foundational Guardrail for General Agentic Systems via Synthetic Data.
CoRR, October, 2025

Faster numeric static analyses with unconstrained variable oracles.
PeerJ Comput. Sci., 2025

Introducing Pyra: A High-Level Linter for Data Science Software.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track and Demo Track, 2025

On the Verification of ML Systems and Models.
Proceedings of the Short Paper Proceedings of the 7th International Workshop on Artificial Intelligence and Formal Verification, 2025

2024
Towards a High Level Linter for Data Science.
Proceedings of the 10th ACM SIGPLAN International Workshop on Numerical and Symbolic Abstract Domains, 2024

Towards a Sound Construction of EVM Bytecode Control-Flow Graphs.
Proceedings of the 26th ACM International Workshop on Formal Techniques for Java-like Programs, 2024

2023
Unconstrained Variable Oracles for Faster Numeric Static Analyses.
Proceedings of the Static Analysis - 30th International Symposium, 2023

Speeding up Static Analysis with the Split Operator.
Proceedings of the 12th ACM SIGPLAN International Workshop on the State Of the Art in Program Analysis, 2023


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