AINeutralarXiv – CS AI · 6h ago6/10
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A Regime Theory of Controller Class Selection for LLM Action Decisions
Researchers propose a regime theory framework for selecting controller classes in language and vision-language models, determining whether AI systems should answer directly, retrieve evidence, defer to stronger models, or abstain. The work demonstrates that model expressivity doesn't uniformly improve performance in finite samples, and provides a principled method to match controller complexity to data availability across multiple benchmarks.