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Found 3 papers, 1 papers with code
Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases
Recent advancements in uni-modal code model pre-training, particularly in generative Source Code Foundation Models (SCFMs) and binary understanding models, have laid the groundwork for transfer learning applicable to HOBRE.
CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
Our pre-trained model can improve the SOTAs in these tasks from 53% to 64%, 49% to 60%, and 74% to 94%, respectively.
When Dataflow Analysis Meets Large Language Models
Dataflow analysis is a powerful code analysis technique that reasons dependencies between program values, offering support for code optimization, program comprehension, and bug detection.
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