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University of Toronto’s Eldan Cohen is leading a team of researchers to develop novel, human-centred machine learning algorithms for automated source code summarization. The goal is to create clear and concise summaries that capture the purpose of code, helping developers understand, maintain, and work with large software development projects. Cohen recommends a human-in-the-loop approach to improve the accuracy of automated code summarization.
