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Indian Institute of Science
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DynEval reveals that a compact evaluator can achieve superior alignment with human judgments by leveraging dynamic datasets and curriculum learning strategies.
Semantic attribute gradients from frozen MLLMs can boost zero-shot image retrieval performance by up to 6 points, reshaping how visual embeddings are trained.
