Abstract: Source code similarity measurement, which involves assessing the degree of difference between code segments, plays a crucial role in various aspects of the software development cycle. These ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
The Power CAT Copilot Studio Kit is a comprehensive set of capabilities designed to augment Microsoft Copilot Studio. The kit helps makers develop, govern, and test custom agents, use a large language ...
The main challenge for Source-free Universal Domain Adaptation (SF-UniDA) is determining whether covariate-shifted samples belong to target-private unknown categories. Existing methods tackle this ...
A new VS Code extension called Nogic visualizes codebases as interactive graphs and drew strong interest on Hacker News. Commenters praised the concept for understanding large or unfamiliar codebases, ...
Abstract: Code representation learning is an important way to encode the semantics of source code through pre-training. The learned representation supports a variety of downstream tasks, such as ...
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