Recurrent Neural Networks (RNNs) are widely used in Natural Language Processing (NLP) applications as they inherently capture contextual information across spatial and temporal dimensions. Compared to ...

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For programs that do not use function pointers, the call graph can be extracted simply by parsing the program. However, for programs that use function pointers, call graph extraction is nontrivial.