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Hadi Hemmati — most-cited papers & profile · AI for Code
← authors
·
overview
Hadi Hemmati
12
papers ·
71
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Prompt Engineering or Fine-Tuning: An Empirical Assessment of LLMs for Code
2023 · 23 citations
Method-Level Bug Severity Prediction using Source Code Metrics and LLMs
2023 · 12 citations
A Systematic Literature Review of Explainable AI for Software Engineering
2023 · 11 citations
Domain Adaptation for Code Model-based Unit Test Case Generation
2023 · 9 citations
A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding
2021 · 3 citations
Enhancing LLM-Based Code Generation with Complexity Metrics: A Feedback-Driven Approach
2025 · 2 citations
Test2Vec: An Execution Trace Embedding for Test Case Prioritization
2022 · 2 citations
FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair
2023 · 2 citations
Improving the Performance of DNN-based Software Services using Automated Layer Caching
2022 · 1 citations
Top co-authors
Jiho Shin
· 2
Song Wang
· 2
Ahmad Haji Mohammadkhani
· 1
Chakkrit Tantithamthavorn
· 1
Clark Tang
· 1
Ehsan Mashhadi
· 1
Emad Jabbar
· 1
Hamed Taherkhani
· 1
Hossein Ahmadvand
· 1
Lei Ma
· 1
Lionel Briand
· 1
Maleknaz Nayebi
· 1
Topics
Software Engineering
Code Models
Code Generation
Testing
Bug Detection
Code Translation
Program Repair
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