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University of Illinois Chicago
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Forget slow, expensive neural verifiers: this work shows a simple corpus lookup can provide faster, better rewards for RL fine-tuning of QA models.
LLM agents can now autonomously generate complex skills with multi-file dependencies, rivaling human-authored skills, thanks to a co-evolutionary verification process that doesn't need ground truth labels.
