CROP achieves 80.6% token reduction on GSM8K, LogiQA and BIG-Bench Hard with only nominal accuracy decline by regularizing automatic prompt optimization with response-length feedback.
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CROP: Token-Efficient Reasoning in Large Language Models via Regularized Prompt Optimization
CROP achieves 80.6% token reduction on GSM8K, LogiQA and BIG-Bench Hard with only nominal accuracy decline by regularizing automatic prompt optimization with response-length feedback.