Phoenix uses a multi-agent LLM workflow to build SBIRs from code context and bug summaries for static detection of tensor-related bugs in DL frameworks, reporting 31 new PyTorch bugs with 20 merged fixes.
Audee: Automated testing for deep learning frameworks
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Rise From The Ashes: LLM-based Static Analysis for Deep Learning Framework Bugs
Phoenix uses a multi-agent LLM workflow to build SBIRs from code context and bug summaries for static detection of tensor-related bugs in DL frameworks, reporting 31 new PyTorch bugs with 20 merged fixes.