2025
Divide, Optimize, Merge: Scalable Fine-Grained Generative Optimization for LLM Agents
Jiale Liu, Yifan Zeng, Shaokun Zhang, Chi Zhang, Malte H{\o}jmark-Bertelsen, Marie Normann Gadeberg +2
EMNLP 2025
LLM-based optimization has shown remarkable potential in improving agentic systems. However, the conventional approach of prompting LLM-based generative optimizer with the trajectories on the whole training dataset in a single pass becomes untenable as datasets grow, leading to context window overfl