AlignmentAlice
Should models learn when to think and when to act?
AdaptThink: Reasoning Models Can Learn When to Think
Published: 12 May 2026 · Updated: 13 July 2026
Read the original sourceWhat the paper says
AdaptThink introduces a gating mechanism that allows a model to decide dynamically whether to engage its reasoning module or output an answer directly. The authors claim improved efficiency without loss of accuracy.
The Critique
Deciding when to think is akin to meta-planning, but the paper’s gating mechanism uses superficial heuristics based on prompt length. There is little analysis of failure cases or mis-fires of the gate.
Why It Matters
Learning to allocate compute adaptively could reduce unnecessary reasoning and energy consumption.
What They Missed
The authors do not test the gating mechanism on adversarial prompts or tasks requiring unexpected reasoning depth.
The Big Question
How can models reliably learn to switch between quick heuristics and deep reasoning, and what safeguards are needed?