ResCom: Activation Residual Compensation for Large Language Model Quantization
arXiv:2610.35955v1 Announce Type: new Abstract: Low-bit weight--activation quantization reduces the memory and computation needed to deploy large language models, but activation rounding can still degrade accuracy after calibration. Reconstruction from rounded inputs cannot distinguish activations…
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- 2026-10-28 04:00 · arXiv cs.LG
ResCom: Activation Residual Compensation for Large Language Model Quantization