#adaptive-routing2 articles

2 articles

AIBullisharXiv – CS AI · 4h ago5

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ODAR: Principled Adaptive Routing for LLM Reasoning via Active Inference

Researchers propose ODAR-Expert, an adaptive routing framework for large language models that optimizes accuracy-efficiency trade-offs by dynamically routing queries between fast and slow processing agents. The system achieved 98.2% accuracy on MATH benchmarks while reducing computational costs by 82%, suggesting that optimal AI scaling requires adaptive resource allocation rather than simply increasing test-time compute.

AIBullisharXiv – CS AI · 4h ago8

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Beyond Na\"ive Prompting: Strategies for Improved Context-aided Forecasting with LLMs

Researchers introduce a framework of four strategies to improve large language models' performance in context-aided forecasting, addressing diagnostic tools, accuracy, and efficiency. The study reveals an 'Execution Gap' where models understand context but fail to apply reasoning, while showing 25-50% performance improvements and cost-effective adaptive routing approaches.