Blocking Common Opening Tokens and Adding an Example Raised Reasoning Compliance in Two AI Models.

Blocking two models’ habitual opening tokens and supplying an example raised compliance scores by 41.2 percentage points for Qwen3-32B and 34.5 percentage points for OLMo-3.1-32B-Think on written-reasoning instructions. The scores measured instruction following, not final-answer accuracy. Qwen3-32B’s average score rose from 7.8% to 49.0%, while OLMo-3.1-32B-Think’s increased from 2.9% to 37.4%. The combined intervention blocked “Okay” and “Alright” at the first reasoning position and included an example. The results covered eight control tasks. Without instructions controlling their openings, “Okay” accounted for 99.89% of the first-token probability in Qwen3-32B and 99.52% in OLMo-3.1-32B-Think. “Okay” and “Alright” together made up more than 99.99% in both models.

BeCrypto News shows a short excerpt and links to the publisher. The full report belongs to TokenPost.