Multi-Teacher On-Policy Distillation emerges as 2026 post-training paradigm used in frontier models
cwolferesearch · x · 2026-09-03
alphaxiv highlights Multi-Teacher On-Policy Distillation (MOPD), an emerging 2026 post-training paradigm where a single model absorbs capabilities from multiple specialized RL teachers. It's reportedly used in frontier-scale models like MiMo-V2-Flash, Kimi K3, and DeepSeek-V4, with a curated paper list tracing its evolution; cwolferesearch adds a blog synthesizing related work from OSS model reports.
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