Papers with edit-distance computation

1 papers
MultiFix: Learning to Repair Multiple Errors by Optimal Alignment Learning (2021.findings-emnlp)

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Challenge: Existing approaches fix a single error in a line, but it is inevitable to iterate until no errors remain.
Approach: They propose a sequence-to-sequence learning framework for fixing multiple program errors at once . they pare an erroneous program with an optimal alignment to the correct program .
Outcome: The proposed approach achieves state-of-the-art on a dataset of 6,975 erroneous C programs . the proposed framework is based on an edit-distance-based data labeling approach .

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