AI Research
From Tokens to Trajectories: Parameter-Efficient Continuous Adaptation of Unified Multimodal Models
While discrete tokenization in Unified Multimodal Models (UMMs) establishes strong semantic reasoning, it introduces a strict quantization bottleneck that degrades fine-grained visual details, often resulting in structurally accurate but artifact-heavy images.
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ArXiv CS.CV
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ArXiv CS.CV
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