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ORCIDMohammed Sabry
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2020 – today
- 2026
[i8]Mohammed Sabry, Anya Belz:
Budgeted LoRA: Distillation as Structured Compute Allocation for Efficient Inference. CoRR abs/2605.04341 (2026)- 2025
- [c2]Simon Mille, Massimiliano Pronesti, Craig Thomson, Michela Lorandi, Sophie Fitzpatrick, Rudali Huidrom, Mohammed Sabry, Amy O'Riordan, Anya Belz:
Combler les lacunes de Wikipédia : tirer parti de la génération de texte pour améliorer la couverture encyclopédique des groupes sous-représentés. TALN (2) 2025: 10 - [i7]Sargam Yadav, Asifa Mehmood Qureshi, Abhishek Kaushik, Shubham Sharma, Róisín Loughran, Subramaniam Kazhuparambil, Andrew Shaw, Mohammed Sabry, Niamh St John Lynch, Nikhil Singh, Padraic O'Hara, Pranay Jaiswal, Roshan Chandru, David Lillis:
From Idea to Implementation: Evaluating the Influence of Large Language Models in Software Development - An Opinion Paper. CoRR abs/2503.07450 (2025) - [i6]Mohammed Sabry, Anya Belz:
What Matters More For In-Context Learning under Matched Compute Budgets: Pretraining on Natural Text or Incorporating Targeted Synthetic Examples? CoRR abs/2509.22947 (2025) - 2024
- [c1]Simon Mille, Massimiliano Pronesti, Craig Thomson, Michela Lorandi, Sophie Fitzpatrick, Rudali Huidrom, Mohammed Sabry, Amy O'Riordan, Anya Belz:
Filling Gaps in Wikipedia: Leveraging Data-to-Text Generation to Improve Encyclopedic Coverage of Underrepresented Groups. INLG (System Demonstrations) 2024: 16-19 - [i5]Mohammed Sabry, Anya Belz
:
Assessing the Portability of Parameter Matrices Trained by Parameter-Efficient Finetuning Methods. CoRR abs/2401.14228 (2024) - [i4]Mohammed Khalil, Mohammed Sabry:
ATHAR: A High-Quality and Diverse Dataset for Classical Arabic to English Translation. CoRR abs/2407.19835 (2024) - 2023
- [i3]Mohammed Sabry, Anya Belz:
PEFT-Ref: A Modular Reference Architecture and Typology for Parameter-Efficient Finetuning Techniques. CoRR abs/2304.12410 (2023) - 2021
- [i2]Bonaventure F. P. Dossou, Mohammed Sabry:
AfriVEC: Word Embedding Models for African Languages. Case Study of Fon and Nobiin. AfricaNLP 2021
2010 – 2019
- 2019
- [i1]Mohammed Sabry, Amr M. A. Khalifa:
On the Reduction of Variance and Overestimation of Deep Q-Learning. CoRR abs/1910.05983 (2019)
Coauthor Index
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