AI RESEARCH

Planning in the LLM Era: Building for Reliability and Efficiency

arXiv CS.CL

ArXi:2605.21902v1 Announce Type: cross Growing attention to intelligent agents has put a spotlight on one of their central capabilities: planning. Early attempts to leverage large language models (LLMs) for planning relied on single-shot plan generation, followed by hybrid approaches that coupled LLMs with limited external search. These methods, unsound and incomplete by their very nature, often require substantial resources without yielding better solutions on unseen problems.