Researcher open-sources RLRT code and self-distillation baselines for math reasoning
Overview
Jeonghye Kim has open-sourced RLRT (RLVR with Reversed Teacher) on GitHub, together with representative OPSD and self-distilled RLVR baselines.
The release is a testbed for studying self-distillation in single-turn math reasoning, according to the author's post on X. The authors say the work offers a unified view of self-distillation in LLM post-training and that RLRT has been accepted to NeurIPS 2026 after an oral presentation at a COLM workshop. Kim invites feedback and pull requests.
Written by AI from the articles below · updated Oct 15, 11:29 AM ET
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Jeonghye Kim✈️ COLM 2026@beanie0__0XRLRT, open-source testbed for self-distillation in math reasoningAIThe researchers released RLRT (RLVR with Reversed Teacher) on GitHub, along with OPSD and self-distilled RLVR baselines, as a testbed for single-turn math reasoning. The release is meant to offer a unified view of self-distillation in LLM post-training. The authors also say RLRT has been accepted to NeurIPS 2026 after an oral presentation at a COLM workshop.

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