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    <title>benchmarks on Sparse Notes</title>
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      <title>Hinted Scaling Laws</title>
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      <pubDate>Sat, 07 Nov 2026 00:00:00 +0000</pubDate>
      
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      <description>Stanford&amp;#39;s fix for downstream scaling laws that break when small models score zero: show the model part of a reference solution, measure how accuracy rises with the hint, and fit one law over scale and hint level. Fit on models up to 10^20 FLOPs, it forecasts a 10^23 FLOP model&amp;#39;s GSM8K score within 3 points, and it cuts median forecast error from 21 points to 4.3.</description>
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