Reflective Prompt Tuning uses LLM function calling and diagnostic reports to iteratively optimize prompts, yielding up to 12.9 point gains on reasoning tasks while improving calibration.
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Reflective Prompt Tuning through Language Model Function-Calling
Reflective Prompt Tuning uses LLM function calling and diagnostic reports to iteratively optimize prompts, yielding up to 12.9 point gains on reasoning tasks while improving calibration.