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Despite the advancements in multimodal agents, even the best models struggle with interactive spatial reasoning, achieving only a 17.4% success rate in complex real-world tasks.
Multi-agent LLMs can achieve up to 30% higher accuracy and consume 6.5x fewer tokens by minimizing direct agent communication and instead coordinating via a structured belief state.