Cross-Context Verification: Hierarchical Detection of Benchmark Contamination through Session-Isolated Analysis
LLM coding benchmarks face a credibility crisis: widespread solution leakage and test quality issues undermine SWE-bench Verified, while existing detection methods--paraphrase consistency, n-gram overlap, perplexity analysis--never directly observe whether a model reasons or recalls. Meanwhile, simply repeating verification degrades accuracy: multi-turn review generates false positives faster than it discovers true errors, suggesting that structural approaches are needed. We introduce Cross-Context Verification (CCV), a black-box method that solves the same benchmark problem in N independent sessions and measures solution diversity, combined with the Hierarchical Cross-Context Architectur...
| Authors | Tae-Eun Song |
|---|---|
| Primary category | cs.CL |
| Published | 23 March 2026 |
| Last updated at source | 1 April 2026 |
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