Models learn when to reason through counterfactual routing credit

CounterRoute trains one policy to select between deliberate reasoning and direct answers while separately improving responses within each mode.

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Amazon.com

Research Digest··2 min read
Jiao et al.

The authors trained a shared Qwen3 policy to choose between thinking and direct-answer modes for each prompt.

Why this paper

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In one line

CounterRoute jointly learns when language models should reason or answer directly, improving benchmark accuracy while reducing generated tokens versus always-thinking Qwen3 checkpoints.

What we could check

  • ·No code link found
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  • ✓Compute or model size stated (params 8B)
  • ·No stated limitations found
  • ✓Reports numbers on named benchmarks

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Research Digest

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