Presents NL-PDDL-Bench and a planner-in-the-loop framework combining LoRA fine-tuning, DPO on planner-derived pairs, and inference-time repair to improve LLM PDDL generation.
On the generalization gap in llm planning: Tests and verifier-reward rl,
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Toward Secure and Reliable PDDL Formalization of Large Language Models with Planner-in-the-Loop Feedback
Presents NL-PDDL-Bench and a planner-in-the-loop framework combining LoRA fine-tuning, DPO on planner-derived pairs, and inference-time repair to improve LLM PDDL generation.