Toufique Ahmed

Orcid: 0000-0002-4427-1350

According to our database1, Toufique Ahmed authored at least 40 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Can LLMs Replace Manual Annotation of Software Engineering Artifacts?
CoRR, 2024

Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy.
CoRR, 2024

Enhancing Trust in LLM-Generated Code Summaries with Calibrated Confidence Scores.
CoRR, 2024

Studying LLM Performance on Closed- and Open-source Data.
CoRR, 2024

Calibration and Correctness of Language Models for Code.
CoRR, 2024

Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization).
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
SynShine: Improved Fixing of Syntax Errors.
IEEE Trans. Software Eng., April, 2023

Learning program embedding from unlabeled source code
PhD thesis, 2023

Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code.
CoRR, 2023

Towards Understanding What Code Language Models Learned.
CoRR, 2023

Majority Rule: better patching via Self-Consistency.
CoRR, 2023

A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques.
CoRR, 2023

Improving Few-Shot Prompts with Relevant Static Analysis Products.
CoRR, 2023

Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries.
CoRR, 2023

Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Large Language Models and Simple, Stupid Bugs.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Better Patching Using LLM Prompting, via Self-Consistency.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
CAPYBARA: Decompiled Binary Functions and Related Summaries.
Dataset, October, 2022

BinT5: Binary Code Summarisation Model.
Dataset, October, 2022

Learning to Find Usages of Library Functions in Optimized Binaries.
IEEE Trans. Software Eng., 2022

Early prediction for merged vs abandoned code changes in modern code reviews.
Inf. Softw. Technol., 2022

Review4Repair: Code review aided automatic program repairing.
Inf. Softw. Technol., 2022

Learning code summarization from a small and local dataset.
CoRR, 2022

NatGen: generative pre-training by "naturalizing" source code.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Few-shot training LLMs for project-specific code-summarization.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Multilingual training for Software Engineering.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Learning lenient parsing & typing via indirect supervision.
Empir. Softw. Eng., 2021

SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics.
CoRR, 2021

Finding Inlined Functions in Optimized Binaries.
CoRR, 2021

Learning type annotation: is big data enough?
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

2020
Review4Repair: Code Review Aided Automatic Program Repairing.
CoRR, 2020

2019
Accepted or Abandoned? Predicting the Fate of Code Changes.
CoRR, 2019

2018
SOQDE: A Supervised Learning Based Question Difficulty Estimation Model for Stack Overflow.
Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

2017
Weighted Optimal Sequenced Group Trip Planning Queries.
Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

SentiCR: a customized sentiment analysis tool for code review interactions.
Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

2016
Energy efficient local search based target localization in an UWSN.
Proceedings of the 12th IEEE International Conference on Wireless and Mobile Computing, 2016

Efficient Routing in a Sensor Network Using Collaborative Ants.
Proceedings of the Advances in Swarm Intelligence, 7th International Conference, 2016

Poster: ETRACK: Energy Efficient Tracking a Mobile Object Using Under Water Sensors.
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

Poster: Measuring Developers' Sentiments in the Android Open Source Project.
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016


  Loading...