Author

Yan Li

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#artificial intelligence Preprint Aug 2026

Is Reasoning Always Useful? Rethinking Reasoning Utility in Universal Multimodal Embeddings

SURE (Score-structure Utility Router for Embeddings), which improves UME-R1-7B by 1.5 points and yields consistent gains on two additional embedding models on MMEB-V2, without retraining, label-based policy selection, or extra VLM forward passes is proposed.

Wen-Xiao Fan, Jing-Ling Fu, Lu Liu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

TryOnReward: Learning Foveated Consistency for Reinforcement Fine-Tuning of Virtual Try-On

This work presents TryOnReward, a fine-grained reward model tailored for VTON that significantly outperforms generic judges in human preference alignment, and when serving as the RFT reward function, it consistently yields human-preferred try-on results across multiple baselines.

Xue-Heng Li, Yong Liu, Xiao-Long Fu et al. · 0 citations