Instruction-guided video editing has made significant progress, yet existing methods use multimodal large language models (MLLMs) primarily as semantic encoders, so they often fall short in working with implicit edits that require causal or semantic reasoning. To bridge this fundamental gap in video editing, we propose...
Dong-Hao Zhou, Hao-Yang He, Fan Zhang et al.· 0 citations
R-Select, a robust and scalable framework that optimizes data selection with 30 distinct quality metrics, introduces a novel hierarchical optimization strategy that consistently outperforms both heuristic baselines and model-based methods, offering a robust solution for high-quality data curation.
Xin Gao, Xiao-Yang Wang, Yun Zhu et al.· Proceedings of the 32nd ACM...· 0 citations
SPARK (Scientific Paper Abstracted Reasoning sKeleton), a paper-oriented synthesis framework built on Sci-Base, is introduced, a scientific reasoning dataset with substantially higher difficulty and diversity than existing resources and consistently outperforms existing scientific reasoning datasets.
The transition from architecture-centric scaling to data-centric refinement has established high-quality data as a critical determinant of Large Language Model performance, particularly for complex reasoning and instruction following. However, effective data selection remains a persistent bottleneck: simple heuristic f...
Xin Gao, Xiaoyang Wang, Yun Zhu et al.· Proceedings of the 32nd ACM...· 0 citations
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