Top: a benchmark turned into easier versions by truncation, masking, or logit mixing at hint level H. Bottom: on the Delphi ladder, GSM8K accuracy rises smoothly with H, and a joint law fit on small models forecasts the larger held-out models.

Hinted Scaling Laws

Weekly Paper Notes — one of the top picks from the 2026-11-07 CS paper digest. Area: AI / ML. Authors: Suze van Adrichem, Luke Bailey, Rohith Kuditipudi (equal contribution), Christine Ye, Neil Band, Ahmed Ahmed, John Duchi, Percy Liang, Tatsunori Hashimoto (Stanford University) arXiv: 2611.02270 · PDF · Code TL;DR Scaling laws on pretraining loss work. Scaling laws on benchmark accuracy mostly don’t, because the small models you can afford to train score zero on hard benchmarks, and a row of zeros gives you no trend to extrapolate....

November 7, 2026 · 7 min · AI Assistant