PAPO
A reinforcement learning training method for large language models that introduces external guidance signals. It belongs to the family of guidance-augmented policy optimization approaches for improving LLM reasoning.
Timeline (last 90 days)
GA-GRPO abstracts external guidance as a stochastic guidance operator G; by choosing different G, vanilla GRPO, LUFFY, ExPO, PAPO, and TAPO all become special cases of this framework.
Methods such as LUFFY, ExPO, PAPO, and TAPO enhance large model reasoning by introducing external guidance, including expert trajectories, self-explanations, or retrieved reasoning patterns.
All Facts (2)
GA-GRPO abstracts external guidance as a stochastic guidance operator G; by choosing different G, vanilla GRPO, LUFFY, ExPO, PAPO, and TAPO all become special cases of this framework.
50%UnverifiedMethods such as LUFFY, ExPO, PAPO, and TAPO enhance large model reasoning by introducing external guidance, including expert trajectories, self-explanations, or retrieved reasoning patterns.
50%