#code-retrieval News & Analysis

2 articles tagged with #code-retrieval. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 86/10

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CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval

Researchers introduce CoQuIR, a comprehensive benchmark for evaluating code retrieval systems across quality dimensions including correctness, efficiency, security, and maintainability. Testing 23 retrieval models reveals that even top performers struggle to distinguish high-quality code from buggy or insecure alternatives, with preliminary training methods showing promise in improving quality-awareness without sacrificing semantic relevance.

AINeutralarXiv – CS AI · May 126/10

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Do not copy and paste! Rewriting strategies for code retrieval

Researchers evaluated multiple code retrieval strategies using LLM-based rewriting, finding that full natural language transcription with query-corpus augmentation achieves the largest gains but corpus-only approaches often degrade performance. They introduced Delta H (token entropy) as a cheap, rewriter-agnostic metric to predict when LLM rewriting justifies its computational cost.