Putting HUMANS first: Efficient LAM Evaluation with Human Preference Alignment

arXiv:2605.00022v1 Announce Type: cross Abstract: The rapid proliferation of large audio models (LAMs) demands efficient approaches for model comparison, yet comprehensive benchmarks are costly. To fill this gap, we investigate whether minimal subsets can reliably evaluate LAMs while reducing costs...