Diagnosis-guided training recipe for 2B dialogue game agents
August 27, 2026
A new three-step post-training recipe for 2B open-weight models addresses local decision failures in dialogue games. The method combines supervised fine-tuning for participation, turn-local preference pairs for mechanical repair, and specific steps to preserve general capabilities.
HOW THIS AFFECTS YOU
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builderYou can apply these fine-tuning stages to improve agent reliability in constrained environments.
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researcherThis provides a method to fix state-tracking and feedback-loop errors in small models.