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Zhengyuan Yang

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Preprint Aug 2026

Rubrics as Visual-Repair Context for Self-Evolving UI-to-Code Generation

Evaluations demonstrate that RubSE substantially outperforms na\"ive self-evolution in final-round and best-round settings, achieving more stable refinement trajectories and a higher trajectory-level performance ceiling.

Tianyi Xiong, Zhengyuan Yang, Xiaofei Wang et al. · 2 citations
Jul 2026

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors

DAFS (Dynamic Attention-based Budget-aware Frame Selection), a training-free frame selector that improves over uniform sampling by up to 6.4 points on Video-MME and outperforms prior training-based selectors under matched frame budgets, while generalizing across selector and answerer backbones, and across tasks, withou...

Yilin Wang, Xiangxi Zheng, Dongxing Mao et al. · 2 citations

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