AWhat changed
Adapted BART-style sequence denoising to code and natural-language corpora with language tags, then fine-tuned the model across program understanding, translation and generation tasks.
Scientific scope
Adapted BART-style sequence denoising to code and natural-language corpora with language tags, then fine-tuned the model across program understanding, translation and generation tasks. Original pretraining uses Java/Python/English, while later evaluations cover additional programming languages; these are not the same training-coverage claim. Architecture/noise objectives inherit BART. Benchmark examples and generated translations are not verified program correctness; first2authors explicitly contributed equally.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Original pretraining uses Java/Python/English, while later evaluations cover additional programming languages; these are not the same training-coverage claim. Architecture/noise objectives inherit BART. Benchmark examples and generated translations are not verified program correctness; first2authors explicitly contributed equally.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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