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Diverse Skill Routing is proposed, a diversity-aware reranking framework that uses a Determinantal Point Process to balance relevance and non-redundancy and improves recall and full coverage over a strong pointwise reranking baseline, with larger gains on multi-skill queries.
A unified toolbox for time-series dataset similarity could revolutionize how researchers select and evaluate datasets for AI model fine-tuning.
