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Skill Entropy reward boosts multi-skill reasoning

This story is from 2026-08-23. It is preserved in the archive; the latest stories are on the live feed.

Quantifying how hard a model is to switch between reasoning skills produces dramatic accuracy gains on cross‑skill tasks. The Skill Entropy reward does exactly this, turning a difficulty metric into a training signal that the model can optimise for directly. Earlier long‑horizon benchmarks treated…

Read the full story at DEV Community — Machine Learning ↗

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  1. 2026-08-23 05:00 · DEV Community — Machine Learning
    Skill Entropy reward boosts multi-skill reasoning

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