This research introduces CoRNStack, a framework that significantly improves code retrieval and reranking by generating high-quality contrastive data pairs.

• Addresses the challenge of noisy, inconsistent training data in code retrieval systems
• Develops a novel contrastive data generation approach for more accurate code embeddings
• Demonstrates superior performance in real-world applications like bug localization
• Enhances practical software engineering tasks including maintenance and bug fixing

For engineering teams, this advancement means more efficient code search capabilities, faster bug identification, and improved developer productivity when working with large codebases.

CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking