Beyond Retrieval: A Multitask Benchmark and Model for Code Search
Code search has usually been evaluated as first-stage retrieval, even though production systems rely on broader pipelines with reranking and developer-style queries. Existing benchmarks also suffer from data contamination, label noise, and degenerate binary relevance. In this paper, we introduce \textsc{CoREB}, a contamination-limited, multitask \underline{co}de \underline{r}etrieval and r\underline{e}ranking \underline{b}enchmark, together with a fine-tuned code reranker, that goes beyond retrieval to cover the full code search pipeline. \textsc{CoREB} is built from counterfactually rewritten LiveCodeBench problems in five programming languages and delivered as timed releases with graded...
| Authors | Siqiao Xue, Zihan Liao, Jin Qin et al. |
|---|---|
| Primary category | cs.SE |
| Published | 6 May 2026 |
| Last updated at source | 8 May 2026 |
Connected in the knowledge graph
- hq-bench/corebDataset · cited by
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Models and datasets referencing this paper
- hq-bench/coreb-code-rerankerModel
- hq-bench/corebDataset
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