Clone Detection

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

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

27 shown of 27 papers with code (68 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.

• CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
  9 Feb 2021 7 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  Benchmark datasets have a significant impact on accelerating research in programming language tasks.
• CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
  2 Sep 2021 5 repositories listed Syntology ran 1 of 11 samples · 10 unverified
  We present CodeT5, a unified pre-trained encoder-decoder Transformer model that better leverages the code semantics conveyed from the developer-assigned identifiers.
• Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on Code
  14 Feb 2024 2 repositories listed
  Therefore, auditing code developed using LLMs is challenging, as it is difficult to reliably assert if an LLM used during development has been trained on specific copyrighted codes, given that we do not have access to…
• Unified Pre-training for Program Understanding and Generation
  10 Mar 2021 2 repositories listed
  Experiments on code summarization in the English language, code generation, and code translation in seven programming languages show that PLBART outperforms or rivals state-of-the-art models.
• AST-Enhanced or AST-Overloaded? The Surprising Impact of Hybrid Graph Representations on Code Clone Detection
  17 Jun 2025 1 repository listed
  In this paper, we present a comprehensive empirical study to rigorously evaluate the effectiveness of AST-based hybrid graph representations in Graph Neural Network (GNN)-based code clone detection.
• On the Use of Deep Learning Models for Semantic Clone Detection
  19 Dec 2024 1 repository listed
  Several deep learning-based clone detection models have appeared in the literature for detecting syntactic and semantic clones, widely evaluated with the BigCloneBench dataset.
• CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View Graphs
  21 Nov 2024 1 repository listed
  This progress is largely attributed to the development of generalizable source code representations that effectively capture the syntactic and semantic characteristics of code.
• Augmenting the Interpretability of GraphCodeBERT for Code Similarity Tasks
  20 Sep 2024 1 repository listed
  Assessing the degree of similarity of code fragments is crucial for ensuring software quality, but it remains challenging due to the need to capture the deeper semantic aspects of code.
• The Struggles of LLMs in Cross-lingual Code Clone Detection
  8 Aug 2024 1 repository listed
  We show that embedding models used to represent code fragments from different programming languages in the same representation space enable the training of a basic classifier that outperforms all LLMs by ~1 and ~20…
• Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity Measures
  3 May 2024 1 repository listed
  The capability of accurately determining code similarity is crucial in many tasks related to software development.
• 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.
• Source Code Clone Detection Using Unsupervised Similarity Measures
  18 Jan 2024 1 repository listed
  Assessing similarity in source code has gained significant attention in recent years due to its importance in software engineering tasks such as clone detection and code search and recommendation.
• 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.
• TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation
  10 Nov 2023 1 repository listed
  Our framework has several advantages over existing methods: (1) It is flexible and adaptable, because it can easily be extended to other downstream tasks that require code representation (such as code-clone detection…
• Cloning and Beyond: A Quantum Solution to Duplicate Code
  19 Oct 2023 1 repository listed
  However, the kinds of problems for which these computers are a good fit, and the ways to express those problems, are substantially different from the kinds of problems and expressions used in classical computing.
• ZC3: Zero-Shot Cross-Language Code Clone Detection
  26 Aug 2023 1 repository listed
  In this paper, we propose a novel method named ZC3 for Zero-shot Cross-language Code Clone detection.
• Graph Neural Networks For Mapping Variables Between Programs -- Extended Version
  24 Jul 2023 1 repository listed
  Typically, in order to compare two programs, a relation between both programs' sets of variables is required.
• 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.
• TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills
  23 May 2023 1 repository listed Syntology ran 1 of 10 samples · 9 unverified
  To tackle the issue, in this paper, we present TransCoder, a unified Transferable fine-tuning strategy for Code representation learning.
• UniASM: Binary Code Similarity Detection without Fine-tuning
  28 Oct 2022 1 repository listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  We have made innovations in both code representation and model selection: we propose a novel rich-semantic function representation technique to ensure the model captures the intricate nuances of binary code, and we…
• A Neural Network Architecture for Program Understanding Inspired by Human Behaviors
  10 May 2022 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  In this paper, we consider human behaviors and propose the PGNN-EK model that consists of two main components.
• On The Cross-Modal Transfer from Natural Language to Code through Adapter Modules
  19 Apr 2022 1 repository listed
  Although adapters are known to facilitate adapting to many downstream tasks compared to fine-tuning the model that require retraining all of the models' parameters -- which owes to the adapters' plug and play nature and…
• 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.
• Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding
  4 Dec 2021 1 repository listed Syntology ran 0 of 13 samples · 13 unverified
  In this paper, we propose an approach to bridge pre-trained models and code-related tasks.
• GraphCodeBERT: Pre-training Code Representations with Data Flow
  17 Sep 2020 1 repository listed
  Instead of taking syntactic-level structure of code like abstract syntax tree (AST), we use data flow in the pre-training stage, which is a semantic-level structure of code that encodes the relation of…
• Contrastive Code Representation Learning
  9 Jul 2020 1 repository listed
  Recent work learns contextual representations of source code by reconstructing tokens from their context.
• Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree
  20 Feb 2020 1 repository listed
  As far as we have concerned, we are the first to apply graph neural networks on the domain of code clone detection.

Syntology lines on 7 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.