Reflective Prompt Tuning through Language Model Function-Calling

arXiv cs.CL·Farima Fatahi Bayat, Moin Aminnaseri, Pouya Pezeshkpour, Estevam Hruschka

15h ago

·~2 min·5/22/2026·en·2

Quick Take

Reflective Prompt Tuning enhances LLM performance through iterative optimization based on diagnostic feedback.

Key Points

RPT simulates human prompt engineering workflows.
Improves prompts by up to 12.9 points across tasks.
Effective in multi-hop and mathematical reasoning.

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Business impact20%0

Novelty (recency)10%96

≥75 high · 50–74 medium · <50 low

Why Featured

Reflective Prompt Tuning offers developers a method to optimize LLMs, enabling PMs to enhance user experience and investors to identify scalable AI solutions.