Abstract: Over the past decade, the application of deep learning in code clone detection has produced remarkable results. However, the current approaches have two limitations: (a) code representation ...
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In the last half-decade, the field of natural language processing (NLP) has undergone two major transitions: the switch to neural networks as the primary modeling paradigm and the homogenization of ...
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. └── src └── ch └── idsia └── competition └── peter ├── BasicTasks │ ├── Task.java // Abstract -- Run() returns Action ...
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Abstract: Clone detection across programs written in the same programming language has been studied extensively in the literature. On the contrary, the task of detecting clones across multiple ...