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Toufique Ahmed
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2020 – today
- 2024
- [c16]Toufique Ahmed, Kunal Suresh Pai, Premkumar T. Devanbu, Earl T. Barr:
Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization). ICSE 2024: 220:1-220:13 - [i22]Claudio Spiess, David Gros, Kunal Suresh Pai, Michael Pradel, Md. Rafiqul Islam Rabin, Amin Alipour, Susmit Jha, Prem Devanbu, Toufique Ahmed:
Calibration and Correctness of Language Models for Code. CoRR abs/2402.02047 (2024) - [i21]Toufique Ahmed, Christian Bird, Premkumar T. Devanbu, Saikat Chakraborty:
Studying LLM Performance on Closed- and Open-source Data. CoRR abs/2402.15100 (2024) - [i20]Yuvraj Virk, Premkumar T. Devanbu, Toufique Ahmed:
Enhancing Trust in LLM-Generated Code Summaries with Calibrated Confidence Scores. CoRR abs/2404.19318 (2024) - [i19]Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Bowen Xu, Premkumar T. Devanbu, Mohammad Amin Alipour:
Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy. CoRR abs/2405.02828 (2024) - [i18]Toufique Ahmed, Premkumar T. Devanbu, Christoph Treude, Michael Pradel:
Can LLMs Replace Manual Annotation of Software Engineering Artifacts? CoRR abs/2408.05534 (2024) - 2023
- [b1]Toufique Ahmed:
Learning program embedding from unlabeled source code. University of California, Davis, USA, 2023 - [j5]Toufique Ahmed, Noah Rose Ledesma, Premkumar T. Devanbu:
SynShine: Improved Fixing of Syntax Errors. IEEE Trans. Software Eng. 49(4): 2169-2181 (2023) - [c15]Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan:
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. ICSE 2023: 1737-1749 - [c14]Toufique Ahmed, Premkumar T. Devanbu:
Better Patching Using LLM Prompting, via Self-Consistency. ASE 2023: 1742-1746 - [c13]Kevin Jesse, Toufique Ahmed, Premkumar T. Devanbu, Emily Morgan:
Large Language Models and Simple, Stupid Bugs. MSR 2023: 563-575 - [c12]Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen:
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie. SANER 2023: 260-271 - [i17]Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Premkumar T. Devanbu, Arie van Deursen:
Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries. CoRR abs/2301.01701 (2023) - [i16]Toufique Ahmed, Supriyo Ghosh, Chetan Bansal, Thomas Zimmermann, Xuchao Zhang, Saravan Rajmohan:
Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. CoRR abs/2301.03797 (2023) - [i15]Kevin Jesse, Toufique Ahmed, Premkumar T. Devanbu, Emily Morgan:
Large Language Models and Simple, Stupid Bugs. CoRR abs/2303.11455 (2023) - [i14]Toufique Ahmed, Kunal Suresh Pai, Premkumar T. Devanbu, Earl T. Barr:
Improving Few-Shot Prompts with Relevant Static Analysis Products. CoRR abs/2304.06815 (2023) - [i13]Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Bowen Xu, Prem Devanbu, Mohammad Amin Alipour:
A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques. CoRR abs/2305.03803 (2023) - [i12]Toufique Ahmed, Premkumar T. Devanbu:
Majority Rule: better patching via Self-Consistency. CoRR abs/2306.00108 (2023) - [i11]Toufique Ahmed, Dian Yu, Chengxuan Huang, Cathy Wang, Prem Devanbu, Kenji Sagae:
Towards Understanding What Code Language Models Learned. CoRR abs/2306.11943 (2023) - [i10]Aftab Hussain, Md. Rafiqul Islam Rabin, Toufique Ahmed, Mohammad Amin Alipour, Bowen Xu:
Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code. CoRR abs/2312.04004 (2023) - 2022
- [j4]Md. Khairul Islam, Toufique Ahmed, Rifat Shahriyar, Anindya Iqbal, Gias Uddin:
Early prediction for merged vs abandoned code changes in modern code reviews. Inf. Softw. Technol. 142: 106756 (2022) - [j3]Faria Huq, Masum Hasan, Md. Mahim Anjum Haque, Sazan Mahbub, Anindya Iqbal, Toufique Ahmed:
Review4Repair: Code review aided automatic program repairing. Inf. Softw. Technol. 143: 106765 (2022) - [j2]Toufique Ahmed, Premkumar T. Devanbu, Anand Ashok Sawant:
Learning to Find Usages of Library Functions in Optimized Binaries. IEEE Trans. Software Eng. 48(10): 3862-3876 (2022) - [c11]Toufique Ahmed, Premkumar T. Devanbu:
Multilingual training for Software Engineering. ICSE 2022: 1443-1455 - [c10]Toufique Ahmed, Premkumar T. Devanbu:
Few-shot training LLMs for project-specific code-summarization. ASE 2022: 177:1-177:5 - [c9]Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray:
NatGen: generative pre-training by "naturalizing" source code. ESEC/SIGSOFT FSE 2022: 18-30 - [d2]Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Prem Devanbu, Arie van Deursen:
BinT5: Binary Code Summarisation Model. Zenodo, 2022 - [d1]Ali Al-Kaswan, Toufique Ahmed, Maliheh Izadi, Anand Ashok Sawant, Prem Devanbu, Arie van Deursen:
CAPYBARA: Decompiled Binary Functions and Related Summaries. Zenodo, 2022 - [i9]Toufique Ahmed, Premkumar T. Devanbu:
Learning code summarization from a small and local dataset. CoRR abs/2206.00804 (2022) - [i8]Saikat Chakraborty, Toufique Ahmed, Yangruibo Ding, Premkumar T. Devanbu, Baishakhi Ray:
NatGen: Generative pre-training by "Naturalizing" source code. CoRR abs/2206.07585 (2022) - [i7]Toufique Ahmed, Premkumar T. Devanbu:
Few-shot training LLMs for project-specific code-summarization. CoRR abs/2207.04237 (2022) - 2021
- [j1]Toufique Ahmed, Premkumar T. Devanbu, Vincent J. Hellendoorn:
Learning lenient parsing & typing via indirect supervision. Empir. Softw. Eng. 26(2): 29 (2021) - [c8]Kevin Jesse, Premkumar T. Devanbu, Toufique Ahmed:
Learning type annotation: is big data enough? ESEC/SIGSOFT FSE 2021: 1483-1486 - [i6]Toufique Ahmed, Premkumar T. Devanbu, Anand Ashok Sawant:
Finding Inlined Functions in Optimized Binaries. CoRR abs/2103.05221 (2021) - [i5]Toufique Ahmed, Noah Rose Ledesma, Premkumar T. Devanbu:
SYNFIX: Automatically Fixing Syntax Errors using Compiler Diagnostics. CoRR abs/2104.14671 (2021) - [i4]Toufique Ahmed, Premkumar T. Devanbu:
Multilingual training for Software Engineering. CoRR abs/2112.02043 (2021) - 2020
- [i3]Faria Huq, Masum Hasan, Mahim Anzum Haque Pantho, Sazan Mahbub, Anindya Iqbal, Toufique Ahmed:
Review4Repair: Code Review Aided Automatic Program Repairing. CoRR abs/2010.01544 (2020)
2010 – 2019
- 2019
- [i2]Toufique Ahmed, Vincent J. Hellendoorn, Premkumar T. Devanbu:
Learning Lenient Parsing & Typing via Indirect Supervision. CoRR abs/1910.05879 (2019) - [i1]Md. Khairul Islam, Toufique Ahmed, Fahim Ahmed, Anindya Iqbal:
Accepted or Abandoned? Predicting the Fate of Code Changes. CoRR abs/1912.03437 (2019) - 2018
- [c7]Sk Adnan Hassan, Dipto Das, Anindya Iqbal, Amiangshu Bosu, Rifat Shahriyar, Toufique Ahmed:
SOQDE: A Supervised Learning Based Question Difficulty Estimation Model for Stack Overflow. APSEC 2018: 445-454 - 2017
- [c6]Toufique Ahmed, Amiangshu Bosu, Anindya Iqbal, Shahram Rahimi:
SentiCR: a customized sentiment analysis tool for code review interactions. ASE 2017: 106-111 - [c5]Sukarna Barua, Roksana Jahan, Toufique Ahmed:
Weighted Optimal Sequenced Group Trip Planning Queries. MDM 2017: 222-227 - 2016
- [c4]Toufique Ahmed:
Poster: Measuring Developers' Sentiments in the Android Open Source Project. MobiSys (Companion Volume) 2016: 7 - [c3]Nazia Majadi, Mahmuda Naznin, Toufique Ahmed:
Poster: ETRACK: Energy Efficient Tracking a Mobile Object Using Under Water Sensors. MobiSys (Companion Volume) 2016: 53 - [c2]Md. Shaifur Rahman, Mahmuda Naznin, Toufique Ahmed:
Efficient Routing in a Sensor Network Using Collaborative Ants. ICSI (2) 2016: 333-340 - [c1]Nazia Majadi, Mahmuda Naznin, Toufique Ahmed:
Energy efficient local search based target localization in an UWSN. WiMob 2016: 1-8
Coauthor Index
aka: Prem Devanbu
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