SOURCE-LINKED INTELLIGENCE

First Make It Playable, Then Make It Good: Staged Interaction Learning for Small Dialogue-Game Agents

arXiv · AI, language, vision and robotics · article · Aug 27, 2026 · UTC

We present Qwen-GuidePlay-2B, a 2B-parameter language model for dialogue-game interaction. We fine-tune Qwen3.5-2B using three steps: a) SFT on only successful game trajectories from Playpen, b) weighted turn-level SFT, and c) teacher-guided SFT. The teacher model (which is a larger model) is only used to fix formatting and evaluate examples, but does not create new gold actions. Our final model scores 57.12 clemscore and 42.68 statscore on the public Playpen validation. In the officially released challenge results, our model obtains the second-highest Playpen clemscore delta among submitted s

Read original source ↗ Open in workspace

recordType

paper

region

Global