PRECEPT: Planning Resilience via Experience, Context Engineering & Probing Trajectories A Unified Framework for Test-Time Adaptation with Compositional Rule Learning and Pareto-Guided Prompt Evolution
PRECEPT: Planning Resilience via Experience, Context Engineering & Probing Trajectories A Unified Framework for Test-Time Adaptation with Compositional Rule Learning and Pareto-Guided Prompt Evolution explores PRECEPT is a unified framework for enhancing LLM agents' test-time adaptation through advanced rule retrieval and memory conflict resolution.. Commercial viability score: 7/10 in LLM Adaptation.
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