Paper: hybrid self-routing model learns when to reason, cutting tokens and latency
Zhengxu Yu · hf · 2026-11-14
The paper "The Value of Thinking: Learning When to Reason in Hybrid Decision Models" proposes a hybrid decision model that routes between implicit single-forward-pass answering and full autoregressive reasoning.
A self-routing block trained with calibrated decision policy optimization decides per input, reducing token and latency costs while preserving accuracy.
Related event: New Paper Teaches Models When to Think, Cutting Latency 72.5%(2 posts)→
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