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Finding training data in million-scale machine learning repositories is a Web search problem where text relevance is not enough. A query couples a semantic training goal with constraints such as task, license, and training stage, and the metadata that would verify them are often missing. Text retrieval ranks dataset ca...
This survey reviews Multimodal Code Intelligence, covering systems that generate, edit, refine, or reason with code under visually grounded inputs and outputs and organizes benchmarks and methods into four domains: Graphical User Interface, Scientific Visualization, Structured Graphics, and Frontier Tasks and Framework...
Extensive experiments show that DataMaster outperforms static baselines in most settings and surpasses full-pool training in a substantial number of cases, and simplifies data curation and removes the burden of manual strategy design.
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