Models learn when to reason, cutting tokens while improving accuracy

CounterRoute trains a dual-mode language model to choose between deliberate reasoning and direct answers while separately improving its routing and response generation.

Big Tech
Ruochen Jiao · Besnik Fetahu · Zhenyu Shi · Priyanka Nigam

Amazon.com

Research Digest··2 min read
Jiao et al.

The authors started from native dual-mode Qwen3 checkpoints and jointly trained routing and mode-conditioned responses, without a method-specific supervised fine-tuning warm-up.

Why this paper

From Amazon.com

In one line

CounterRoute jointly learns routing and response modes in dual-model LMs, cutting generated tokens by 41-51% while improving accuracy.

What we could check

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  • ✓Reports numbers on named benchmarks (2 benchmarks)

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