GRASP: Generating, Revising, and Assessing for Strategic Planning with Agentic AI
Empirical evaluations show that GRASP consistently establishes a new state-of-the-art frontier across diverse datasets, yielding substantial accuracy gains over direct LLM planners on Natural Plan Calendar Scheduling, ZebraLogic, and SciBench Math.
Arunabh Srivastava, M. Khojastepour, Srimat T. Chakradhar et al.
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