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Qi-Chao Ma

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Preprint Aug 2026

Can We Perform Online RL for Image Editing without Editing Rewards?

Lever-Edit is introduced, a two-stage framework that learns a reward-aligned captioner for counterfactual target descriptions, freezes it, and optimizes the editing policy solely with the transferred T2I reward, showing competitive editing alignment and source preservation against editing-reward-based fine-tuning, whil...

Qi-Chao Ma, Ji-Kang Cheng, Ling Liang et al. · 2 citations
Preprint Aug 2026

RecGPT-Mobile-V2 Technical Report

RecGPT-Mobile-V2 is introduced, an end-to-end framework that treats intent quality and execution efficiency as coupled objectives within a staged design and helps retain decision-relevant evidence and allocate additional computation only when it is likely to improve the predicted Query.

Lingqin Zhang, Bin Zhang, Wei-Peng Huang et al. · 0 citations

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