AINeutralarXiv – CS AI · May 16/10
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Belief-Guided Inference Control for Large Language Model Services via Verifiable Observations
Researchers propose VEROIC, a framework for optimizing inference costs in black-box LLM services by dynamically deciding when to allocate additional computation. The system uses partially observable reliability signals to balance response quality against computational expenses, achieving better cost-efficiency trade-offs than existing approaches.