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The goal of Code Search is to retrieve code fragments from a large code corpus that most closely match a developer’s intent, which is expressed in natural language.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DeepRTL2: A Versatile Model for RTL-Related Tasks
Knowledge Graph Based Repository-Level Code Generation
LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models
Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks
Towards Leveraging Large Language Model Summaries for Topic Modeling in Source Code
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection
Zero-Shot Cross-Domain Code Search without Fine-Tuning
OASIS: Order-Augmented Strategy for Improved Code Search
LoRACode: LoRA Adapters for Code Embeddings
MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings
Beyond Natural Language Perplexity: Detecting Dead Code Poisoning in Code Generation Datasets
URECA: The Chain of Two Minimum Set Cover Problems exists behind Adaptation to Shifts in Semantic Code Search
Repository-level Code Search with Neural Retrieval Methods
OrcaLoca: An LLM Agent Framework for Software Issue Localization
On the Compression of Language Models for Code: An Empirical Study on CodeBERT
Isotropy Matters: Soft-ZCA Whitening of Embeddings for Semantic Code Search
CodeSAM: Source Code Representation Learning by Infusing Self-Attention with Multi-Code-View Graphs
In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics
Deep Code Search with Naming-Agnostic Contrastive Multi-View Learning
ViC: Virtual Compiler Is All You Need For Assembly Code Search
Natural Language Outlines for Code: Literate Programming in the LLM Era
SpecRover: Code Intent Extraction via LLMs
LLM Agents Improve Semantic Code Search
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models
Toward Exploring the Code Understanding Capabilities of Pre-trained Code Generation Models
CoSQA+: Pioneering the Multi-Choice Code Search Benchmark with Test-Driven Agents
RepoQA: Evaluating Long Context Code Understanding
Advanced Detection of Source Code Clones via an Ensemble of Unsupervised Similarity Measures
AutoCodeRover: Autonomous Program Improvement
ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search
Source Code Clone Detection Using Unsupervised Similarity Measures
Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search
Code Search Debiasing:Improve Search Results beyond Overall Ranking Performance
GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding
TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation
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