Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems
The work introduces prompt stability as a key factor for reliable general-purpose multi-agent systems, arguing consistency across repeated runs is more important than single task success. It proposes semantic stability as a metric to quantify this consistency and develops a system that uses this feedback to iteratively improve both prompt quality and overall performance.