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Aarhus University
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Achieving state-of-the-art results for Danish with a model that uses only permissible data challenges the notion that larger datasets are necessary for competitive performance.
No single model dominates video embedding tasks, revealing stark contrasts in performance based on modality and task type.
Leaderboard rankings for instruction-tuned embedding models are meaningless, as prompt selection alone can crown any model the winner.
Audio models can't do it all: a comprehensive benchmark reveals stark performance trade-offs between acoustic and linguistic understanding, with no single model dominating across diverse audio tasks.
