Comment Generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

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Most implemented papers archive 2025-07-28

23 shown of 23 papers with code (65 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.

• InCoder: A Generative Model for Code Infilling and Synthesis
  12 Apr 2022 3 repositories listed Syntology ran 6 of 10 samples · 4 unverified · 2 pointer-only (licence)
  Our model is the first generative model that is able to directly perform zero-shot code infilling, which we evaluate on challenging tasks such as type inference, comment generation, and variable re-naming.
• CoNT: Contrastive Neural Text Generation
  29 May 2022 2 repositories listed
  We validate CoNT on five generation tasks with ten benchmarks, including machine translation, summarization, code comment generation, data-to-text generation and commonsense generation.
• Automating Code Review Activities by Large-Scale Pre-training
  17 Mar 2022 2 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  In this research, we focus on utilizing pre-training techniques for the tasks in the code review scenario.
• Code Attention: Translating Code to Comments by Exploiting Domain Features
  22 Sep 2017 2 repositories listed
  Appropriate comments of code snippets provide insight for code functionality, which are helpful for program comprehension.
• Leveraging Reward Models for Guiding Code Review Comment Generation
  4 Jun 2025 1 repository listed
  Among those, the ones exploiting deep learning (DL) are able to tackle the generative aspect of code review, by commenting on a given code as a human reviewer would do (i.
• Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding
  12 May 2025 1 repository listed
  Large Language Models (LLMs) have demonstrated unprecedented capability in code generation.
• Automated Medical Report Generation for ECG Data: Bridging Medical Text and Signal Processing with Deep Learning
  5 Dec 2024 1 repository listed
  It significantly outperforms the state-of-the-art reference model by Qiu et al., achieving a METEOR score of 55.
• Prompting for Numerical Sequences: A Case Study on Market Comment Generation
  3 Apr 2024 1 repository listed
  Large language models (LLMs) have been applied to a wide range of data-to-text generation tasks, including tables, graphs, and time-series numerical data-to-text settings.
• MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment Generation
  26 Mar 2024 1 repository listed
  In this paper, we raise the awareness of the supplementary nature of method-level comments and propose a new metric named MESIA (Mean Supplementary Information Amount) to assess the extent of supplementary information…
• Investigating the Efficacy of Large Language Models for Code Clone Detection
  24 Jan 2024 1 repository listed
  GPT-based models are one of the popular ones studied for tasks such as code comment generation or test generation.
• A variational selection mechanism for article comment generation
  12 Sep 2023 1 repository listed
  To solve this problem, a variational selection mechanism model (VSMM) is proposed in our research.
• Knowledge Enhanced Model for Live Video Comment Generation
  28 Apr 2023 1 repository listed
  Live video commenting is popular on video media platforms, as it can create a chatting atmosphere and provide supplementary information for users while watching videos.
• StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning
  16 Oct 2022 1 repository listed Syntology ran 0 of 1 samples · 1 unverified · 1 pointer-only (licence)
  Existing automatic story evaluation methods place a premium on story lexical level coherence, deviating from human preference.
• Automatic Comment Generation via Multi-Pass Deliberation
  14 Sep 2022 1 repository listed
  Then, we treat the comment of the retrieved code as the initial draft and input it with the code and keywords into DECOM to start the iterative deliberation process.
• Exploring Methods for Generating Feedback Comments for Writing Learning
  1 Nov 2021 1 repository listed
  To shed light on these points, we investigate a wider range of methods for generating many feedback comments in this study.
• Impact of Evaluation Methodologies on Code Summarization
  22 Aug 2021 1 repository listed
  This may lead to evaluations that are inconsistent with the intended use cases.
• Learning with Contrastive Examples for Data-to-Text Generation
  1 Dec 2020 1 repository listed
  Existing models for data-to-text tasks generate fluent but sometimes incorrect sentences e.
• One Comment from One Perspective: An Effective Strategy for Enhancing Automatic Music Comment
  1 Dec 2020 1 repository listed
  The automatic generation of music comments is of great significance for increasing the popularity of music and the music platform{'}s activity.
• Retrieve and Refine: Exemplar-based Neural Comment Generation
  9 Oct 2020 1 repository listed
  Inspired by the IR-based and template-based approaches, in this paper, we propose a neural comment generation approach where we use the existing comments of similar code snippets as exemplars to guide comment generation.
• MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models
  1 Sep 2020 1 repository listed
  In recent years, the proliferation of so-called "fake news" has caused much disruptions in society and weakened the news ecosystem.
• Automatic Generation of Personalized Comment Based on User Profile
  24 Jul 2019 1 repository listed
  Comments on social media are very diverse, in terms of content, style and vocabulary, which make generating comments much more challenging than other existing natural language generation~(NLG) tasks.
• Cross-Modal Commentator: Automatic Machine Commenting Based on Cross-Modal Information
  1 Jul 2019 1 repository listed
  Automatic commenting of online articles can provide additional opinions and facts to the reader, which improves user experience and engagement on social media platforms.
• Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model
  4 Jun 2019 1 repository listed
  In this paper, we propose to generate comments with a graph-to-sequence model that models the input news as a topic interaction graph.

Syntology lines on 3 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.