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NaviAgent is introduced, a graph-navigated bilevel planning architecture for robust function calling, comprising a Multi-Path Decider and Graph-Encoded Navigator, which consistently achieves the highest task success rate (TSR) across all foundation models and task complexities.
Autonomous evolution of agent harnesses can yield significant performance improvements, yet struggles in specific task environments reveal critical limitations.
REST achieves few-step image generation that rivals traditional 40-step methods while slashing training costs by over 75%.
