Weak-Driven Learning: How Weak Agents make Strong Agents Stronger
A novel post-training paradigm where strong models improve by learning from weak agents like historical checkpoints. Achieves performance gains on math and code with zero additional inference cost.
Posted Mar 5, 2026, 11:30 AM UTC
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