56 citations · 65 across the 3 of their papers we have counts for
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cs.SE2026
Natural Language-Focused Software Engineering via Code-Documentation Equivalence
Aryaz Eghbali, Zhongxin Liu, Michael Pradel
Source code documentation is an integral part of software development and maintenance, as it helps in understanding the code and facilitates communication among developers. However…
cs.SE2024★ 9 cited
De-Hallucinator: Mitigating LLM Hallucinations in Code Generation Tasks via Iterative Grounding
Aryaz Eghbali, Michael Pradel
Large language models (LLMs) trained on datasets of publicly available source code have established a new state of the art in code generation tasks. However, these models are mostl…
cs.SE2023★ 56 cited
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
Max Schäfer, Sarah Nadi, Aryaz Eghbali +1
Unit tests play a key role in ensuring the correctness of software. However, manually creating unit tests is a laborious task, motivating the need for automation. Large Language Mo…