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arXiv AI By Shuai Lyu, Yuning Gong, Ruiling Gao, Xiaoran Shang, Zhonghong Ou, Ping Zong, Yifan Zhu, Yuan Sun, Yang Qin, Peng Hu

Multi-Branch Policy Optimization for Multimodal Large Language Models

Read the original on arXiv AI →

arXiv:2608. 07581v1 Announce Type: cross Abstract: Group-based reinforcement learning methods for multimodal large language models typically rely on trajectory-level credit assignment that applies a single advantage to all tokens in a response.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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