Factorized vector quantization matches continuous visual tokens on understanding
The discrete model beats UniAR and Emu3-Chat by 22.8% and 59.2% on a nine-metric average.
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The discrete model beats UniAR and Emu3-Chat by 22.8% and 59.2% on a nine-metric average.
Across seven knowledge categories and three unified models, visual supervision transferred unevenly into text-only question answering.
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