Skip to content
English

Switch theme

arXiv 2609.35767 · cs.CV · 2026-09-28

Learning Native Reflection in Unified Models with Interleaved Reinforcement Learning

Yijia Fan, Ziqi Huang, Zhongang Cai, Yan Li, Zimo Wen, Wanqi Yin, Haiwen Diao, Ziwei Liu

MMLab@NTU

In latest · #253 Added on 2026-10-21

One-line takeaway

Interleaved RL jointly trains reflection text and image generation so unified models can diagnose and repair their own images.

用交错强化学习联合训练统一多模态模型的“反思文本”和图像生成,让它能自查并修图。

50HF upvotes
31GitHub stars
0Citations (Semantic Scholar)
50.1Buzz score

Read on arXiv PDF Hugging Face discussion Code Project page

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

Data updated: Latest AI papers(UTC+8)