Code Classification

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

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

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

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

15 shown of 15 papers with code (39 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.

• CodeS: Towards Code Model Generalization Under Distribution Shift
  11 Jun 2022 2 repositories listed
  Distribution shift has been a longstanding challenge for the reliable deployment of deep learning (DL) models due to unexpected accuracy degradation.
• Embedding Java Classes with code2vec: Improvements from Variable Obfuscation
  6 Apr 2020 2 repositories listed
  code2vec is a recently released embedding approach that uses the proxy task of method name prediction to map Java methods to feature vectors.
• CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection
  12 Mar 2025 1 repository listed
  LLMs perform exceptionally well in the CASTLE dataset when identifying vulnerabilities in small code snippets.
• Enhancing Source Code Classification Effectiveness via Prompt Learning Incorporating Knowledge Features
  10 Jan 2024 1 repository listed
  Researchers have investigated the potential of leveraging pre-trained language models, such as CodeBERT, to enhance source code-related tasks.
• Graph Convolutions Enrich the Self-Attention in Transformers!
  7 Dec 2023 1 repository listed Syntology ran 19 of 29 samples · 10 unverified
  We propose a graph-filter-based self-attention (GFSA) to learn a general yet effective one, whose complexity, however, is slightly larger than that of the original self-attention mechanism.
• A General-Purpose Self-Supervised Model for Computational Pathology
  29 Aug 2023 1 repository listed
  Tissue phenotyping is a fundamental computational pathology (CPath) task in learning objective characterizations of histopathologic biomarkers in anatomic pathology.
• Understanding Programs by Exploiting (Fuzzing) Test Cases
  23 May 2023 1 repository listed
  The effectiveness of the proposed method is verified on two program understanding tasks including code clone detection and code classification, and it outperforms current state-of-the-arts by large margins.
• The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification
  8 May 2023 1 repository listed
  These findings show that early layers can be used to obtain better results using the same resources, as well as to reduce resource usage during fine-tuning and inference.
• Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification
  7 May 2023 1 repository listed
  In this study, we propose to represent AST as a heterogeneous directed hypergraph (HDHG) and process the graph by heterogeneous directed hypergraph neural network (HDHGN) for code classification.
• MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
  6 Oct 2022 1 repository listed
  Data augmentation has been a popular approach to supplement training data in domains such as computer vision and NLP.
• On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing
  6 Oct 2022 1 repository listed
  Graph neural network (GNN)-based graph learning has been popular in natural language and programming language processing, particularly in text and source code classification.
• Learning Program Semantics with Code Representations: An Empirical Study
  22 Mar 2022 1 repository listed
  However, currently, a comprehensive and systematic study on evaluating different program representation techniques across diverse tasks is still missed.
• Semantic Code Classification for Automated Machine Learning
  25 Jan 2022 1 repository listed
  A range of applications for automatic machine learning need the generation process to be controllable.
• CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
  25 May 2021 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  In addition to its large scale, CodeNet has a rich set of high-quality annotations to benchmark and help accelerate research in AI techniques for a variety of critical coding tasks, including code similarity and…
• SCC: Automatic Classification of Code Snippets
  21 Sep 2018 1 repository listed
  Determining the programming language of a source code file has been considered in the research community; it has been shown that Machine Learning (ML) and Natural Language Processing (NLP) algorithms can be effective in…

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.