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arXiv · 2510.17937

UniRL-Zero: Reinforcement Learning on Unified Models with Joint Language Model and Diffusion Model Experts

Fu-Yun Wang·Han Zhang·Michael Gharbi·Hongsheng Li·Taesung Park
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Abstract

We present UniRL-Zero, a unified reinforcement learning (RL) framework that boosts, multimodal language model understanding and reasoning, diffusion model multimedia generation, and their beneficial interaction capabilities within a unified model. Our work defines six scenarios for unified model reinforcement learning, providing systematic baselines for reinforcement learning of unified understanding and generation model. Our code is available at https://github.com/G-U-N/UniRL.

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Fu-Yun Wang, Han Zhang, Michael Gharbi, Hongsheng Li, Taesung Park. 2025-10-20. UniRL-Zero: Reinforcement Learning on Unified Models with Joint Language Model and Diffusion Model Experts. https://arxiv.org/abs/2510.17937

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