arxivcs.AI2026-06-29
Toward Secure and Reliable PDDL Formalization of Large Language Models with Planner-in-the-Loop Feedback
Jiamei Jiang, Jiajing Zhang, Feifei Mo, Linjing Li, Daniel Zeng
Planning often requires symbolic specifications that are both executable and verifiable. For large language models deployed in autonomous or decision-support systems, failures in such formalization may lead to unverifiable decisions, execution failures, or unsafe downstream behav…