AINeutralarXiv – CS AI · 8h ago6/10
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A Stackelberg Framework for Resource-Aware LLM Agents: Learning, Repair, and Conditional Guarantees
Researchers propose a Stackelberg game framework for managing computational resource allocation in multi-turn LLM agents, balancing quality targets against finite budgets. Testing on 300 API turns demonstrates 17.4% token cost reduction versus baseline without significant quality degradation, though results represent a promising operating point rather than a certified equilibrium.