On-policy distillation has an extrapolation cliff at closed-form lambda*(p,b,c) set by teacher modal probability, warm-start mass, and clip strength, past which training shifts from format-preserving to format-collapsing.
Think inside the json: Reinforcement strategy for strict llm schema adherence
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DiScO enhances LLM mathematical reasoning by training for awareness of diverse thinking schemata, using RL to promote diversity, and applying it at inference, outperforming standard GRPO.
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The Extrapolation Cliff in On-Policy Distillation of Near-Deterministic Structured Outputs
On-policy distillation has an extrapolation cliff at closed-form lambda*(p,b,c) set by teacher modal probability, warm-start mass, and clip strength, past which training shifts from format-preserving to format-collapsing.