BinT5: Binary Code Summarisation Model
Published in Zenodo (CERN European Organization for Nuclear Research) • Oct 20, 2022
NobleIDNI3P79W61R98S35
Authors:,,
Ali Al-Kaswan
Toufique Ahmed
Maliheh Izadi
Abstract
BinT5 This dataset is published as part of the paper: "Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries". It includes the fine-tuned CodeT5 checkpoints, packaged in a single .zip file. For each of the models, a `pytorch.bin` file is provided in its respective folder...
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