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Real Faults in Deep Learning Fault Benchmarks: How Real Are They?

arXiv:2412.16336v2 Announce Type: replace-cross Abstract: As the adoption of Deep Learning (DL) systems continues to rise, an increasing number of approaches are being proposed to test these systems, localise faults within them, and repair those faults. The be

arXiv cs.AIResearch source·