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Clone Detection

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Showing 1–50 of 68 papers

TitleStatusHype
CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View GraphsCode2
Augmenting the Interpretability of GraphCodeBERT for Code Similarity TasksCode1
Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity MeasuresCode1
Source Code Clone Detection Using Unsupervised Similarity MeasuresCode1
Graph Convolutions Enrich the Self-Attention in Transformers!Code1
ZC3: Zero-Shot Cross-Language Code Clone DetectionCode1
Understanding Programs by Exploiting (Fuzzing) Test CasesCode1
UniASM: Binary Code Similarity Detection without Fine-tuningCode1
Learning Program Semantics with Code Representations: An Empirical StudyCode1
Bridging Pre-trained Models and Downstream Tasks for Source Code UnderstandingCode1
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and GenerationCode1
Unified Pre-training for Program Understanding and GenerationCode1
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and GenerationCode1
Contrastive Code Representation LearningCode1
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax TreeCode1
AST-Enhanced or AST-Overloaded? The Surprising Impact of Hybrid Graph Representations on Code Clone DetectionCode0
Gradient-Based Model Fingerprinting for LLM Similarity Detection and Family Classification—0
CodeSSM: Towards State Space Models for Code Understanding—0
Should Code Models Learn Pedagogically? A Preliminary Evaluation of Curriculum Learning for Real-World Software Engineering Tasks—0
Towards Secure AI-driven Industrial Metaverse with NFT Digital Twins—0
On the Use of Deep Learning Models for Semantic Clone DetectionCode0
In-Context Code-Text Learning for Bimodal Software Engineering—0
An Effective Approach to Embedding Source Code by Combining Large Language and Sentence Embedding Models—0
The Struggles of LLMs in Cross-lingual Code Clone DetectionCode0
Eliminating Backdoors in Neural Code Models for Secure Code Understanding—0
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn—0
Assessing the Code Clone Detection Capability of Large Language Models—0
SimClone: Detecting Tabular Data Clones using Value Similarity—0
Toward Exploring the Code Understanding Capabilities of Pre-trained Code Generation Models—0
GenCode: A Generic Data Augmentation Framework for Boosting Deep Learning-Based Code Understanding—0
Trained Without My Consent: Detecting Code Inclusion In Language Models Trained on CodeCode0
Investigating the Efficacy of Large Language Models for Code Clone DetectionCode0
Source Code is a Graph, Not a Sequence: A Cross-Lingual Perspective on Code Clone Detection—0
AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection—0
TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree TransformationCode0
Cloning and Beyond: A Quantum Solution to Duplicate CodeCode0
Graph Neural Networks For Mapping Variables Between Programs -- Extended VersionCode0
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review—0
A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges—0
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human SkillsCode0
CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search—0
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search—0
Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study—0
xASTNN: Improved Code Representations for Industrial Practice—0
Poison Attack and Defense on Deep Source Code Processing Models—0
Generalizability of Code Clone Detection on CodeBERT—0
Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detection—0
HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations—0
A Neural Network Architecture for Program Understanding Inspired by Human BehaviorsCode0
On The Cross-Modal Transfer from Natural Language to Code through Adapter ModulesCode0
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