An empirical evaluation of using large language models for automated unit test generation M Schäfer, S Nadi, A Eghbali, F Tip IEEE Transactions on Software Engineering, 2023 | 249* | 2023 |
CrystalBLEU: precisely and efficiently measuring the similarity of code A Eghbali, M Pradel Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 63 | 2022 |
No Strings Attached: An Empirical Study of String-related Software Bugs A Eghbali, M Pradel 35th IEEE/ACM International Conference on Automated Software Engineering …, 2020 | 22 | 2020 |
DynaPyt: a dynamic analysis framework for Python A Eghbali, M Pradel Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 21 | 2022 |
De-Hallucinator: Mitigating LLM Hallucinations in Code Generation Tasks via Iterative Grounding A Eghbali, M Pradel arXiv preprint arXiv:2401.01701, 2024 | 18* | 2024 |
12 Angry miners A Eghbali, R Wattenhofer Data Privacy Management, Cryptocurrencies and Blockchain Technology: ESORICS …, 2019 | 5* | 2019 |
An Almost Tight RMR Lower Bound for Abortable Test-And-Set A Eghbali, P Woelfel 32nd International Symposium on Distributed Computing (DISC 2018), 2018 | 1 | 2018 |
An Almost Tight Lower Bound for Abortable Leader Election A Eghbali | | 2018 |