Yuejun Jiao

TAMPO: Task- and Model-Aware Automatic Prompt Optimization for Robust and Controllable Auto-Routing in LLM-based Systems

Automatic Prompt Optimization (APO) enables Large Language Models (LLMs) to adapt to specific tasks while minimizing manual engineering costs. However, since existing APO approaches either rely solely on multi-round iterative procedures or use model-specific generators tailored to optimizing prompts…