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Paperium

Posted on • Originally published at paperium.net

Foundational Automatic Evaluators: Scaling Multi-Task Generative EvaluatorTraining for Reasoning-Centric Domains

New AI Evaluators Make Smart Machines Even Smarter

Ever wondered how we can tell if a computer’s answer is truly clever? Scientists have built a fresh kind of AI “judge” that can grade reasoning tasks just like a human teacher.
By gathering a massive library of 2.
5 million example questions—from simple pair comparisons to step‑by‑step math problems—they taught these judges to spot good reasoning without any fancy tricks.
Think of it like training a seasoned editor with millions of drafts; the more they read, the sharper their eye becomes.
The result? Two powerful models, one the size of a modest smartphone brain (8 billion parameters) and another rivaling the biggest commercial systems (20 billion).
These evaluators outshine older, specialized tools and even help other AIs improve by up to 14 % when they learn from the feedback.
In real tests, the biggest model ranks math solutions almost as well as a perfect oracle.
This breakthrough shows that smarter, data‑driven judges can lift the whole AI community, bringing us closer to machines that think and reason like us.
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Foundational Automatic Evaluators: Scaling Multi-Task Generative EvaluatorTraining for Reasoning-Centric Domains

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