PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models 事件

PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models arXiv:2605.20873v2 Announce Type: replace Abstract: Planning is a fundamental capability for large language models (LLMs) because such complex tasks require models to coordinate goals, constraints, resources, and long-term consequences into executable and verifiable solutions. Existing planning benchmarks, however, usually treat planning data as fixed collections of instances rather