An orchestrated multi-agent AI framework for trip planning optimization paired with a new ground-truth dataset achieves 77.4% accuracy on the TOP Benchmark, outperforming single-agent and workflow baselines.
Llm agents for smart city management: Enhancing decision support through multi-agent ai systems
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Agentic AI for Trip Planning Optimization Application
An orchestrated multi-agent AI framework for trip planning optimization paired with a new ground-truth dataset achieves 77.4% accuracy on the TOP Benchmark, outperforming single-agent and workflow baselines.