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Recall Before Rerank: Benchmarking Deep Learning Models for Large-Scale Code-to-Code Retrieval
68t0768t50computation-and-languageh-3-3i-2-7information-retrievalmachine-learningsoftware-engineering
Semantic code search and clone detection are essential for software development, maintenance, and reuse. This paper evaluates the effectiveness, efficiency, and scalability of contemporary deep learning models for first-stage recall in large-scale code-to-code search engines. Benchmarking across mul
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