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Binarization methods that ignore weight significance can lead to substantial performance losses, but SAB-LVLM optimizes this process, achieving superior efficiency without sacrificing accuracy.
Structured supervision can enable 3B VLMs to outperform 32B VLMs on dense-scene reasoning tasks, suggesting a path to efficient and reliable visual understanding.
Pushing super-resolution models to the extreme of 2-bit quantization doesn't have to mean sacrificing accuracy, thanks to QuantSR+'s clever combination of quantization-aware operators, architecture, and training.
