LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?

LightReasoner: How Tiny AI Tutors Boost Big Brain Power

Ever wondered if a little helper could make a genius even smarter? Scientists discovered a clever trick: let a small language model point out the exact moments when a larger model gets stuck, then use those clues to sharpen the big model’s thinking.
Imagine a junior chef tasting a dish and shouting “add a pinch of salt!” – that tiny tip can transform the whole recipe.
In the new LightReasoner method, the “junior” AI watches the “master” solve puzzles, spots the critical steps, and creates bite‑size teaching examples.
The master model then rehearses only those key moments, cutting training time by up to 90% and needing far fewer data samples.
The result? A boost of up to 28% in math problem accuracy without any human‑written answers.
This breakthrough shows that even modest AI can become a powerful coach, making the biggest models smarter and greener.
Next time you chat with an AI, remember: behind the scenes, a tiny teacher might be polishing its answers just for you.
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Read article comprehensive review in Paperium.net:
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?

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