Mootez Saad

According to our database, Mootez Saad authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

Tu(r)ning AI Green: Exploring Energy Efficiency Cascading With Orthogonal Optimizations.

Saurabhsingh Rajput, Mootez Saad, Tushar Sharma

IEEE Softw., 2026

2025

Hierarchical Evaluation of Software Design Capabilities of Large Language Models of Code.

Mootez Saad, Boqi Chen, José Antonio Hernández López, Dániel Varró, Tushar Sharma

CoRR, November, 2025

On the Effect of Token Merging on Pre-trained Models for Code.

Mootez Saad, Hao Li, Tushar Sharma, Ahmed E. Hassan

CoRR, July, 2025

SENAI: Towards Software Engineering Native Generative Artificial Intelligence.

Mootez Saad, José Antonio Hernández López, Boqi Chen, Neil A. Ernst, Dániel Varró, Tushar Sharma

CoRR, March, 2025

On Inter-Dataset Code Duplication and Data Leakage in Large Language Models.

José Antonio Hernández López, Boqi Chen, Mootez Saad, Tushar Sharma, Dániel Varró

IEEE Trans. Software Eng., January, 2025

An Adaptive Language-Agnostic Pruning Method for Greener Language Models for Code.

Mootez Saad, José Antonio Hernández López, Boqi Chen, Dániel Varró, Tushar Sharma

Proc. ACM Softw. Eng., 2025

2024

ALPINE: An adaptive language-agnostic pruning method for language models for code.

Mootez Saad, José Antonio Hernández López, Boqi Chen, Dániel Varró, Tushar Sharma

CoRR, 2024

CONCORD: Towards a DSL for Configurable Graph Code Representation.

Mootez Saad, Tushar Sharma

CoRR, 2024

Enhancing Identifier Naming Through Multi-Mask Fine-Tuning of Language Models of Code.

Sanidhya Vijayvargiya, Mootez Saad, Tushar Sharma

Proceedings of the IEEE International Conference on Source Code Analysis and Manipulation, 2024

Naturalness of Attention: Revisiting Attention in Code Language Models.

Mootez Saad, Tushar Sharma

Proceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results, 2024

2023

On Inter-dataset Code Duplication and Data Leakage in Large Language Models.

José Antonio Hernández López, Boqi Chen, Mootez Saad, Tushar Sharma, Dániel Varró

Dataset, December, 2023

Calibrating Deep Learning-based Code Smell Detection using Human Feedback.

Himesh Nandani, Mootez Saad, Tushar Sharma

Proceedings of the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation, 2023

DACOS - A Manually Annotated Dataset of Code Smells.

Himesh Nandani, Mootez Saad, Tushar Sharma

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023