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Multi-Head Latent Control: A Unified Interface for LLM Agent Decision Making

7 upvotes · 15 JUL 2026 · Amirhosein Ghasemabadi, Ruichen Chen, Bahador Rashidi et al.

This paper introduces a new method, Multi-Head Latent Control, that allows large language models to make decisions at inference time, such as whether to use a stronger model or request additional information, without relying on costly and difficult-to-maintain external signals. Practitioners can use this method to improve the quality and efficiency of multi-model systems.