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Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization. Automatically generating human-readable text describing the functionality of a program is the intent of source code summarization.
May 18, 2023
This mechanism focuses on retrieving the top- K K K italic_K most similar tokens from the datastore and generating a retrieval-based distribution. The ...
Tram: A Token-level Retrieval-augmented Mechanism for Source Code. Summarization. Anonymous ACL submission. Abstract. Automatically generating human-readable ...
Tram: A Token-level Retrieval-augmented Mechanism for Source Code ... Retrieval-based Source Code Summarization. ... summaries by Tram, Rencos, CODESCRIBE, and. 490.
Automatically generating human-readable text describing the functionality of a program is the intent of source code summarization.
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Token-level retrieval-augmented mechanism (Tram) enhances source code summarization by integrating external knowledge on the decoder side, improving performance ...
May 18, 2023 · Automatically generating human-readable text describing the functionality of a program is the intent of source code summarization. Although ...
In this paper, we propose a fine-grained Token-level retrieval-augmented mechanism (Tram) on the decoder side rather than the encoder side to enhance the ...
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo Code ... Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization.
Tram: Token-level Retrieval-augmented Mechanism for Source Code Summarization. Source code summarization benefits from token-level retrieval augmentation ...