AIBullisharXiv – CS AI · 18h ago6/10
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Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
Researchers propose WMSS, a post-training optimization method that leverages weak model checkpoints to improve strong language models beyond conventional saturation points. The approach identifies and addresses learning gaps through entropy dynamics, achieving performance gains in mathematical reasoning and code generation without additional inference costs.