Gianmario Voria

Orcid: 0009-0002-5394-8148

According to our database1, Gianmario Voria authored at least 21 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Tracing Stereotypes in Pre-trained Transformers: From Biased Neurons to Fairer Models.
CoRR, January, 2026

Once Upon a Team: Investigating Bias in LLM-Driven Software Team Composition and Task Allocation.
CoRR, January, 2026

Fair and square? Evaluating fairness of LLM-generated synthetic datasets.
Inf. Softw. Technol., 2026

Fairness set and forgotten: Mining fairness toolkit usage in open-source machine learning projects.
Inf. Softw. Technol., 2026

Bias Ahead: Sensitive Prompts as Early Warnings for Fairness in Large Language Models.
Proceedings of the IEEE International Conference on Software Analysis, 2026

Toward Measuring Prompt Quality: A Preliminary Investigation on Prompt Smells.
Proceedings of the IEEE International Conference on Software Analysis, 2026

SCOPE: A Dataset of Stereotyped Prompts for Counterfactual Fairness Assessment of LLMs.
Proceedings of the IEEE International Conference on Software Analysis, 2026

2025
Toward Systematic Counterfactual Fairness Evaluation of Large Language Models: The CAFFE Framework.
CoRR, December, 2025

RECOVER: Toward Requirements Generation From Stakeholders' Conversations.
IEEE Trans. Software Eng., June, 2025

Examining the impact of bias mitigation algorithms on the sustainability of ML-enabled systems: A benchmark study.
J. Syst. Softw., 2025

Fairness-aware practices from developers' perspective: A survey.
Inf. Softw. Technol., 2025

Fairness on a budget, across the board: A cost-effective evaluation of fairness-aware practices across contexts, tasks, and sensitive attributes.
Inf. Softw. Technol., 2025

Contextual Fairness-Aware Practices in ML: A Cost-Effective Empirical Evaluation.
Proceedings of the IEEE International Conference on Software Analysis, 2025

From Expectation to Habit: Why do Software Practitioners Adopt Fairness Toolkits?
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, 2025

Teaching Software Engineering for Artificial Intelligence: An Experience Report.
Proceedings of the Software Engineering and Advanced Applications, 2025

A Catalog of Fairness-Aware Practices in Machine Learning Engineering.
Proceedings of the 2025 29th International Conference on Evaluation and Assessment in Software Engineering Companion, 2025

2024
Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative?
CoRR, 2024

RECOVER: Toward the Automatic Requirements Generation from Stakeholders' Conversations.
CoRR, 2024

Is Attention All You Need? Toward a Conceptual Model for Social Awareness in Large Language Models.
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024

FRINGE: context-aware FaiRness engineerING in complex software systEms.
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

2022
Community Smell Detection and Refactoring in SLACK: The CADOCS Project.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022


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