#machine learning
Feb 2025
Meta-Prompt Optimization for LLM-Based Sequential Decision Making
The EXPonential-weight algorithm for prompt Optimization} (EXPO) is proposed to automatically optimize the task description and meta-instruction in the meta-prompt for LLM-based agents and is extended to additionally optimize the exemplars (i.e., history of interactions) in the meta-prompt to further enhance the performance, hence introducing the EXPO-ES algorithm.
Ming-Ze Kong, Zhiyong Wang, Yao Shu et al.
· arXiv.org · 7 citations