Amal Akli

According to our database, Amal Akli authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation.

Amal Akli, Mike Papadakis, Maxime Cordy, Yves Le Traon

CoRR, April, 2026

Defective Task Descriptions in LLM-Based Code Generation: Detection and Analysis.

Amal Akli, Mike Papadakis, Maxime Cordy, Yves Le Traon

CoRR, April, 2026

AutoAdapt: On the Application of AutoML for Parameter-Efficient Fine-Tuning of Pre-Trained Code Models.

Amal Akli, Maxime Cordy, Mike Papadakis, Yves Le Traon

ACM Trans. Softw. Eng. Methodol., March, 2026

One Model, Many Skills: Parameter-Efficient Fine-Tuning for Multitask Code Analysis.

Amal Akli, Maxime Cordy, Mike Papadakis, Yves Le Traon

CoRR, March, 2026

2025

When Prompts Go Wrong: Evaluating Code Model Robustness to Ambiguous, Contradictory, and Incomplete Task Descriptions.

Maya Larbi, Amal Akli, Mike Papadakis, Rihab Bouyousfi, Maxime Cordy, Federica Sarro, Yves Le Traon

CoRR, July, 2025

2023

FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning.

Amal Akli, Guillaume Haben, Sarra Habchi, Mike Papadakis, Yves Le Traon

Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2023

2022

Predicting Flaky Tests Categories using Few-Shot Learning.

Amal Akli, Guillaume Haben, Sarra Habchi, Mike Papadakis, Yves Le Traon

CoRR, 2022