Code Documentation Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

7 leaderboard tables shown for this task, 7 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

5 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (8 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• CodeBERT: A Pre-Trained Model for Programming and Natural Languages
  19 Feb 2020 9 repositories listed Syntology ran 2 of 20 samples · 18 unverified · 4 pointer-only (licence)
  Results show that CodeBERT achieves state-of-the-art performance on both natural language code search and code documentation generation tasks.
• Memorization and Generalization in Neural Code Intelligence Models
  16 Jun 2021 2 repositories listed
  The goal of this paper is to evaluate and compare the extent of memorization and generalization in neural code intelligence models.
• HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks
  31 Mar 2021 2 repositories listed
  Jupyter notebook allows data scientists to write machine learning code together with its documentation in cells.
• DocAgent: A Multi-Agent System for Automated Code Documentation Generation
  11 Apr 2025 1 repository listed
  High-quality code documentation is crucial for software development especially in the era of AI.
• RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation
  26 Feb 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 2 pointer-only (licence)
  Generative models have demonstrated considerable potential in software engineering, particularly in tasks such as code generation and debugging.
• Assemble Foundation Models for Automatic Code Summarization
  13 Jan 2022 1 repository listed
  Thereby, we propose a flexible and robust approach for automatic code summarization, based on neural models.
• CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing
  6 Apr 2021 1 repository listed
  Simultaneously, the transformer model, especially its combination with transfer learning, has been proven to be a powerful technique for natural language processing tasks.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.