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Beyond Retrieval: A Multitask Benchmark and Model for Code Search

TL;DR AI

Key summary

2 min read
  1. Researchers released CoREB, a new contamination-limited benchmark for code search.

  2. It evaluates text-to-code, code-to-text, and code-to-code retrieval across five programming languages with graded judgments.

  3. The benchmark goes beyond first-stage retrieval to better reflect real developer search behavior and avoid data contamination.

  4. Results show short keyword-style queries remain difficult for current models, while the fine-tuned CoREB-Reranker beats existing baselines more consistently than off-the-shelf rerankers.

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