{"url":"/sota/source-code-summarization-on-hybrid-deepcom","task":{"name":"Source Code Summarization","url":"/task/code-summarization","note":null},"dataset":{"name":"Java scripts","url":"/dataset/hybrid-deepcom-java"},"category":"Natural Language Processing","categories":["Computer Code","Natural Language Processing"],"category_note":null,"description":"**Code Summarization** is a task that tries to comprehend code and automatically generate descriptions directly from the source code.\r\n\r\n\r\n<span class=\"description-source\">Source: [Improving Automatic Source Code Summarization via Deep Reinforcement Learning ](https://arxiv.org/abs/1811.07234)</span>","description_from":"task","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","rank":"the archive's row order at snapshot; not re-ranked","rows_end_at":"2025-07-28","rows_withheld_as_spam":0,"metric_values":"the archive's strings, untouched"},"metrics":["BLEU-4","METEOR"],"metric_direction":{"note":"inferred from the metric name only (the archive records no direction); null = not inferred, chart draws points only","by_metric":{"BLEU-4":"higher","METEOR":null}},"counts":{"rows":1,"rows_with_code":1,"rows_with_paper_page":1,"rows_dated":1,"rows_using_additional_data":0},"rows":[{"rank_in_archive_order":1,"model":"AdaMo-basic","metrics":{"BLEU-4":"37.64","METEOR":"25.59%"},"uses_additional_data":false,"paper_date":"2022-01-13","paper":"/paper/assemble-foundation-models-for-automatic-code","paper_url":"https://arxiv.org/abs/2201.05222v2","paper_title":"Assemble Foundation Models for Automatic Code Summarization","code":"https://github.com/jianguda/afm4acs","n_code_links":1,"syntology":null}],"since_archive":{"present":false,"note":"No Syntology-extracted rows are published in this build."},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per row: N of M harvested code samples from that row's paper executed on a synthesized fixture; the other M-N are unverified. Not a reproduction of the row's number; not a correctness claim. n_pointer_only_licence counts samples the site points at rather than redistributes (a licence axis, independent of ran/unverified).","rows_with_graph_line":0,"rows_with_any_sample_ran":0,"distinct_papers_with_graph_line":0,"distinct_papers_with_any_sample_ran":0,"samples_over_distinct_papers":{"n_ran":0,"n_unverified":0,"n_samples":0,"n_pointer_only_licence":0,"note":"each paper (arXiv id) counted once, however many rows it is behind; this is the page-level figure"},"samples_row_weighted":{"n_ran":0,"n_unverified":0,"n_samples":0,"n_pointer_only_licence":0,"note":"row-weighted: a paper behind several rows is counted once per row; inflated relative to samples_over_distinct_papers by design, kept for readers summing the per-row syntology blocks"}}}