Method name prediction
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Benchmarks
CodeSearchNet
Most implemented
Assessing Project-Level Fine-Tuning of ML4SE Models
Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models
Memorization and Generalization in Neural Code Intelligence Models
Understanding Neural Code Intelligence Through Program Simplification
Embedding Java Classes with code2vec: Improvements from Variable Obfuscation
Papers
Analysis of AdvFusion: Adapter-based Multilingual Learning for Code Large Language Models
Programming languages can benefit from one another by utilizing a language model for software engineering tasks. Full fine-tuning and Parameter Efficient Fine-Tuning (PEFT) of Code Language Models (Code-LMs) has been exp…
Method name predictionCode TranslationCode GenerationDo Current Language Models Support Code Intelligence for R Programming Language?
Recent advancements in developing Pre-trained Language Models for Code (Code-PLMs) have urged many areas of Software Engineering (SE) and brought breakthrough results for many SE tasks. Though these models have achieved …
Code SummarizationMethod name predictionAn Empirical Study on Capability of Large Language Models in Understanding Code Semantics
Large Language Models for Code (code LLMs) have demonstrated remarkable performance across various software engineering (SE) tasks, increasing the application of code LLMs in software development. Despite the success of …
Code SummarizationMethod name predictionSensitivityWRDScore: New Metric for Evaluation of Natural Language Generation Models
Evaluating natural language generation models, particularly for method name prediction, poses significant challenges. A robust metric must account for the versatility of method naming, considering both semantic and synta…
Method name predictionText GenerationStudying Vulnerable Code Entities in R
Pre-trained Code Language Models (Code-PLMs) have shown many advancements and achieved state-of-the-art results for many software engineering tasks in the past few years. These models are mainly targeted for popular prog…
Code SummarizationMethod name predictionTransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation
Artificial intelligence (AI) has revolutionized software engineering (SE) by enhancing software development efficiency. The advent of pre-trained models (PTMs) leveraging transfer learning has significantly advanced AI f…
Clone DetectionCode SearchContrastive LearningData Augmentation+2