Papers by Yongqiang Yao

2 papers
Program Translation via Code Distillation (2023.emnlp-main)

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Challenge: Software version migration and program translation are costly parts of the lifecycle of large codebases.
Approach: They propose a model that captures semantic and structural equivalence of code in a language agnostic intermediate representation.
Outcome: The proposed model achieves state-of-the-art performance on CodeXGLUE and TransCoder GeeksForGeeks translation benchmarks.
SUT: Active Defects Probing for Transcompiler Models (2023.emnlp-main)

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Challenge: Existing datasets are often criticized for their lack of granularity, which can mask deficiencies in basic syntactic elements that humans care about.
Approach: They propose a new program translation metrics that address basic syntax errors . they propose BLUE, CodeBLUE and computation accuracy metrics which address these errors based on a highly interpretable evaluation harness.
Outcome: The proposed model passes the unit tests with a 26.15% pass rate compared to previous models .

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