Unverified50% confidenceBenchmarkExact time
When targeting a 5% goal, the miss rate on the held-out set can reach as high as 17%, indicating that threshold performance on training data cannot be directly extrapolated.
1
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50%
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Long-term
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10/5/2026
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UnverifiedIn the experiment, after prompts exceeded 50, the human interception rate dropped sharply from 17% to 5%, reflecting the phenomenon of approval fatigue.70% similarUnverifiedMeta's LLaMA paper disclosed that approximately 67% of its training data came from Common Crawl, of which only about 15% of the original data was retained after multiple rounds of filtering.68% similarUnverifiedResearch shows that on certain open-source benchmarks, the n-gram overlap rate between the training data of leading large models and the evaluation data can be as high as 15%–30%.68% similarUnverifiedIn CLM training, pretraining alone scores 52% on the hard negative sample test; adding the hard negative sample stage jumps it to 69%; training with hard negative samples from day one peaks at only 62% and overfits quickly; omitting replay causes the hard negative sample score to drop from 69% back to 56%.67% similarUnverifiedSparse and dense rewards are statistically indistinguishable on in-domain success rate, but the gap reaches 33 percentage points on held-out calibration probe tests.67% similar
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