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Toufique Ahmed
Toufique Ahmed
IBM Research
Verifierad e-postadress på ibm.com - Startsida
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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
2512022
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
1982017
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
1242022
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
109*2024
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
1022023
Multilingual training for software engineering
T Ahmed, P Devanbu
Proceedings of the 44th International Conference on Software Engineering …, 2022
812022
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
612023
SynShine: Improved Fixing of Syntax Errors
T Ahmed, NR Ledesma, P Devanbu
IEEE Transactions on Software Engineering, 2022
48*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
442021
Better patching using LLM prompting, via Self-Consistency
T Ahmed, P Devanbu
2023 38th IEEE/ACM International Conference on Automated Software …, 2023
39*2023
Extending source code pre-trained language models to summarise decompiled binaries
A Al-Kaswan, T Ahmed, M Izadi, AA Sawant, P Devanbu, A van Deursen
2023 IEEE International Conference on Software Analysis, Evolution and …, 2023
392023
Calibration and Correctness of Language Models for Code
C Spiess, D Gros, KS Pai, M Pradel, MRI Rabin, A Alipour, S Jha, ...
arXiv preprint arXiv:2402.02047, 2024
38*2024
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
292022
Learning lenient parsing & typing via indirect supervision
T Ahmed, P Devanbu, VJ Hellendoorn
Empirical Software Engineering 26 (2), 1-31, 2021
272021
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
18*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
162022
Studying LLM Performance on Closed-and Open-source Data
T Ahmed, C Bird, P Devanbu, S Chakraborty
arXiv preprint arXiv:2402.15100, 2024
132024
A survey of trojans in neural models of source code: Taxonomy and techniques
A Hussain, MRI Rabin, T Ahmed, N Ayoobi, B Xu, P Devanbu, MA Alipour
arXiv preprint arXiv:2305.03803, 2023
12*2023
Enhancing Trust in LLM-Generated Code Summaries with Calibrated Confidence Scores
Y Virk, P Devanbu, T Ahmed
arXiv preprint arXiv:2404.19318, 2024
112024
Learning code summarization from a small and local dataset
T Ahmed, P Devanbu
arXiv preprint arXiv:2206.00804, 2022
112022
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Artiklar 1–20