Alessandro Giagnorio

Orcid: 0009-0009-3454-3349

According to our database1, Alessandro Giagnorio authored at least 15 papers between 2024 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
Why Personalizing Deep Learning-Based Code Completion Tools Matters.
ACM Trans. Softw. Eng. Methodol., January, 2026

Guidelines to Prompt Large Language Models for Code Generation: An Empirical Characterization.
CoRR, January, 2026

2025
[Supplemental Material] Guidelines to Prompt Large Language Models for Code Generation: An Empirical Characterization.
Dataset, October, 2025

[Supplemental Material] Beyond the Leaderboard: Examining Benchmark Quality in Code Generation.
Dataset, October, 2025

[Supplemental Material] Beyond the Leaderboard: Examining Benchmark Quality in Code Generation.
Dataset, October, 2025

[Supplemental Material] Beyond the Leaderboard: Examining Benchmark Quality in Code Generation.
Dataset, October, 2025

[Supplemental Material] Beyond the Leaderboard: Examining Benchmark Quality in Code Generation.
Dataset, October, 2025

Data for "No-Resource, No Benchmarks, No Problem? Evaluating and Improving LLMs for Code Generation in No-Resource Languages".
Dataset, October, 2025

[Replication Package] Evaluating the Impact of Post-Training Quantization on Large Language Models for Code Generation.
Dataset, October, 2025

Quantizing Large Language Models for Code Generation: A Differentiated Replication.
CoRR, March, 2025

[Replication Package] Quantizing Large Language Models for Code Generation: A Differentiated Replication.
Dataset, March, 2025

[Replication Package] Quantizing Large Language Models for Code Generation: A Differentiated Replication.
Dataset, March, 2025

[Replication Package] Quantizing Large Language Models for Code Generation: A Differentiated Replication.
Dataset, March, 2025

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet.
Proceedings of the 33rd IEEE/ACM International Conference on Program Comprehension, 2025

2024
[Replication Package] Enhancing Code Generation for Low-Resource Languages: No Silver Bullet.
Dataset, November, 2024


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