RRPO: Reference-Relative Policy Optimization with Stratified Conditional Rollouts

Publication
arXiv preprint, 2026

RRPO extends group-relative reinforcement learning to tasks without a direct correctness verifier. It compares candidate rollouts against positive and negative reference sets to construct training advantages for reasoning and open-ended generation.

Xunyi Jiang
Xunyi Jiang
PhD in CS @ 🇺🇸NYU
MS in CS @ 🇺🇸UCSD
BS in DS @ 🇨🇳SUSTech

I am interested in LLM Evaluation, Generative Engine Optimization, Human-AI collaboration, AI for creativity🎻.