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East China University of Science and Technology
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Tired of fragmented datasets? SeDa unifies 7.6M+ datasets from 200+ platforms with semantic annotation and provenance tracking, making cross-domain data discovery a breeze.
MLLMs can be significantly boosted by curriculum learning that focuses on reward design rather than data selection, dynamically weighting generalized rubrics based on the model's evolving competence.
