Search Results for author:
Found 4 papers, 4 papers with code
Revisiting File Context for Source Code Summarization
Source code summarization is the task of writing natural language descriptions of source code.
Distilled GPT for Source Code Summarization
A code summary is a brief natural language description of source code.
Semantic Similarity Loss for Neural Source Code Summarization
We also propose to combine our loss with traditional CCE for each word, which streamlines the training process compared to baselines.
A Language Model of Java Methods with Train/Test Deduplication
In contrast to many existing language models, we prioritize features for researchers including an open and easily-searchable training set, a held out test set with different levels of deduplication from the training set, infrastructure for deduplicating new examples, and an implementation platform suitable for execution on equipment accessible to a relatively modest budget.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
