AI RESEARCH
Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models
arXiv CS.AI
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ArXi:2604.18612v1 Announce Type: cross Large Language Models (LLMs) have nstrated strong capabilities in complex reasoning tasks, while recent prompting strategies such as Chain-of-Thought (CoT) have further elevated their performance in handling complex logical problems. Despite these advances, high-quality reasoning remains heavily reliant on manual static prompts and is sensitive to decoding configurations and task distributions, leading to performance fluctuations and limited transferability.