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1
Extending Source Code Pre-Trained Language Models to Summar..:
, In:
2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
,
Al-Kaswan, Ali
;
Ahmed, Toufique
;
Izadi, Maliheh
... - p. 260-271 , 2023
Link:
https://doi.org/10.1109/SANER56733.2023.00033
RT T1 <cTitle>2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)</cTitle>: T1 <Title>Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10123452&Exemplar=1&LAN=DE A1 Al-Kaswan, Ali A1 Ahmed, Toufique A1 Izadi, Maliheh A1 Sawant, Anand Ashok A1 Devanbu, Premkumar A1 van Deursen, Arie YR 2023 SN 2640-7574 K1 Source coding K1 Reverse engineering K1 Binary codes K1 Transformers K1 Data models K1 Software K1 Labeling K1 Task analysis K1 Optimization K1 Synthetic data K1 Decompilation K1 Binary K1 Reverse Engineering K1 Summarization K1 Deep Learning K1 Pre-trained Language Models K1 CodeT5 SP 260 OP 271 LK http://dx.doi.org/https://doi.org/10.1109/SANER56733.2023.00033 DO https://doi.org/10.1109/SANER56733.2023.00033 SF ELIB - SuUB Bremen
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