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Toufique Ahmed
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SentiCR: a customized sentiment analysis tool for code review interactions
T Ahmed, A Bosu, A Iqbal, S Rahimi
2017 32nd IEEE/ACM International Conference on Automated Software …, 2017
1762017
Few-shot training LLMs for project-specific code-summarization
T Ahmed, P Devanbu
37th IEEE/ACM International Conference on Automated Software Engineering, 1-5, 2022
1212022
NatGen: generative pre-training by “naturalizing” source code
S Chakraborty, T Ahmed, Y Ding, PT Devanbu, B Ray
Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022
922022
Multilingual training for software engineering
T Ahmed, P Devanbu
Proceedings of the 44th International Conference on Software Engineering …, 2022
672022
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
T Ahmed, S Ghosh, C Bansal, T Zimmermann, X Zhang, S Rajmohan
Proceedings of the IEEE/ACM 45th International Conference on Software …, 2023
592023
SynShine: Improved Fixing of Syntax Errors
T Ahmed, NR Ledesma, P Devanbu
IEEE Transactions on Software Engineering, 2022
38*2022
Learning type annotation: is big data enough?
K Jesse, PT Devanbu, T Ahmed
Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021
352021
Large Language Models and Simple, Stupid Bugs
K Jesse, T Ahmed, PT Devanbu, E Morgan
2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023
312023
Automatic semantic augmentation of language model prompts (for code summarization)
T Ahmed, KS Pai, P Devanbu, ET Barr
2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE …, 2024
28*2024
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie
A Al-Kaswan, T Ahmed, M Izadi, AA Sawant, P Devanbu, A van Deursen
2023 IEEE International Conference on Software Analysis, Evolution and …, 2023
252023
Learning lenient parsing & typing via indirect supervision
T Ahmed, P Devanbu, VJ Hellendoorn
Empirical Software Engineering 26 (2), 1-31, 2021
222021
Review4Repair: Code review aided automatic program repairing
F Huq, M Hasan, MMA Haque, S Mahbub, A Iqbal, T Ahmed
Information and Software Technology 143, 106765, 2022
182022
Better patching using LLM prompting, via Self-Consistency
T Ahmed, P Devanbu
2023 38th IEEE/ACM International Conference on Automated Software …, 2023
16*2023
Learning to Find Usages of Library Functions in Optimized Binaries
T Ahmed, P Devanbu, AA Sawant
IEEE Transactions on Software Engineering 48 (10), 3862-3876, 2021
16*2021
Early prediction for merged vs abandoned code changes in modern code reviews
K Islam, T Ahmed, R Shahriyar, A Iqbal, G Uddin
Information and Software Technology 142, 106756, 2022
102022
Weighted Optimal Sequenced Group Trip Planning Queries
S Barua, R Jahan, T Ahmed
2017 18th IEEE International Conference on Mobile Data Management (MDM), 222-227, 2017
82017
Quality and Trust in LLM-generated Code
C Spiess, D Gros, KS Pai, M Pradel, MRI Rabin, S Jha, P Devanbu, ...
arXiv preprint arXiv:2402.02047, 2024
62024
Learning code summarization from a small and local dataset
T Ahmed, P Devanbu
arXiv preprint arXiv:2206.00804, 2022
62022
A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques
A Hussain, MRI Rabin, T Ahmed, B Xu, P Devanbu, MA Alipour
arXiv preprint arXiv:2305.03803, 2023
52023
Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code
A Hussain, MRI Rabin, T Ahmed, MA Alipour, B Xu
arXiv preprint arXiv:2312.04004, 2023
42023
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