AIBullisharXiv – CS AI · 6h ago6/10
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Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs
Researchers introduce LATTE, a framework that enables teams of large language models to coordinate work dynamically through shared task graphs rather than fixed hierarchies or fully unstructured approaches. The system reduces token usage, execution time, and coordination failures while maintaining or improving accuracy compared to existing multi-agent LLM coordination methods.