3 papers - avg viability 6.0
A multi-agent framework that makes LLM prompt optimization transparent and robust, overcoming the limitations of black-box methods.
A self-evolving memory system that automatically optimizes LLM prompts for better generalization and reduced cost.
Automating LLM prompt optimization for linguistic tasks shows task-dependent results, sometimes matching expert performance but not yet replacing it.