Unverified50% confidenceBenchmarkExact time
探索性能上界实验发现现有验证粒度并非最优，理想情况下计算量（FLOPs）可减少75倍，同时准确率提升1.1%
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50%
Confidence
Long-term
Relevance
7/15/2026
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UnverifiedFan's team's performance upper-bound experiment found that under ideal conditions, computational FLOPs can be reduced by 75×, while accuracy improves by 1.1%.85% similarUnverifiedLID accuracy at switching points is typically 10–20 percentage points lower than LID accuracy at non-switching points.70% similarUnverifiedThe accuracy data in the test has an error margin of approximately ±8–10 percentage points at n=100 sample size (based on a 95% confidence-level binomial confidence interval).69% similarUnverified业界报告显示即便是最先进的解析引擎，在面对非标准格式时准确率可能从95%以上降至70%以下69% similarUnverifiedWhen samples are severely imbalanced, Accuracy becomes misleading—a model that predicts everyone as healthy can still achieve an accuracy of over 99%.69% similar
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