AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization

Research article (2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021) · cited 21× · AI/ML
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AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization

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AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization. Retrieved May 24, 2026, from https://4ort.xyz/entity/ast-transformer-encoding-abstract-syntax-trees-efficiently-for-code-summarization
MLA “AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ast-transformer-encoding-abstract-syntax-trees-efficiently-for-code-summarization.
BibTeX @misc{4ortxyz_ast-transformer-encoding-abstract-syntax-trees-efficiently-for-code-summarization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization}}, year = {2026}, url = {https://4ort.xyz/entity/ast-transformer-encoding-abstract-syntax-trees-efficiently-for-code-summarization}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization — https://4ort.xyz/entity/ast-transformer-encoding-abstract-syntax-trees-efficiently-for-code-summarization (retrieved 2026-05-24)

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