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Modus achieves competitive performance across diverse benchmarks by treating all modalities symmetrically, eliminating the need for modality-specific heads or pipelines.
Achieving competitive performance with multimodal models trained solely on test environment data challenges the necessity of large-scale internet datasets for effective learning.
