Reproduce “VERS: Steering Reasoning Models by Editing Their Activation Explanations” on OpenResearch

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About this paper

Ihor Vitenko

VERS reduces generated tokens by turning edits to text explanations of internal states into a fixed steering direction applied at paragraph breaks during reasoning. On 1,319 GSM8K test questions, it cuts mean generated tokens 45.8%, with accuracy changing by −0.82 percentage points [−1.42, −0.21], meeting the −2-point non-inferiority margin. On MATH-500, it saves 31.3% but accuracy falls 3.05 points.

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