Author

Christopher De Sa

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Preprint Aug 2026

QUASAR: Lowering the Loss Floor of Quantization-Aware Training with Loss-Aware Reconstruction

QUASAR is introduced, a QAT method that continuously performs lightweight, loss-aware reconstruction in the training loop to lower the loss floor and improve the resulting low-bit model, establishing QUASAR's objective as a principled optimization target.

Vincent Counathe, Ben Athiwaratkun, Christopher De Sa et al. · 0 citations