Unverified50% confidenceFactExact time
Some vendors tend to over-optimize for evaluation sets (benchmark gaming/benchmark contamination), leading to inflated scores but insufficient generalization ability.
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Long-term
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8/31/2026
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VerifiedSome models carry the risk of over-optimization toward test sets, causing leaderboard scores to deviate from real-world performance (benchmark saturation).73% similarUnverifiedVendor optimization targeting specific benchmarks causes benchmark scores to rise while becoming decoupled from improvements in real-world capability, a problem known as benchmark hacking.72% similarVerified若用含测试集的全量数据计算均值和标准差,会导致预处理泄漏,使评估指标虚高,无法真实反映模型泛化能力72% similarUnverified评分校准是关键技术难点,模型必须能大量给出低分,否则过滤系统失去意义71% similar
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