Co-occurring keywords · papers mentioning both
Papers
CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval
ACL 2026
Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement
AAAI 2026
MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings
AAAI 2026
Beyond Function-Level Search: Repository-Aware Dual-Encoder Code Retrieval with Adversarial Verification
EMNLP 2025
CodeRAG-Bench: Can Retrieval Augment Code Generation?
NAACL 2025
CodeRAG: Finding Relevant and Necessary Knowledge for Retrieval-Augmented Repository-Level Code Completion
EMNLP 2025
CodeSSM: Towards State Space Models for Code Understanding
EMNLP 2025
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models
ACL 2025
CoRet: Improved Retriever for Code Editing
ACL 2025
CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking
ICLR 2025
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization
EMNLP 2025
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework
AAAI 2024
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models
EMNLP 2024
ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search
COLING 2024
Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search
ACL 2024
Searching by Code: A New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets
COLING 2024
XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval
ACL 2024
Backdooring Neural Code Search
ACL 2023
Addressing Leakage in Self-Supervised Contextualized Code Retrieval
COLING 2022
Adversarial Training for Code Retrieval with Question-Description Relevance Regularization
EMNLP 2020
Bimodal Modelling of Source Code and Natural Language
ICML 2015
Mining Internet-Scale Software Repositories
NeurIPS 2007