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CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization
CoreQ proposes a learning-free post-training quantization framework using a geometric closed-form layer-adaptive mismatch correction coefficient and successive rounding to improve LLM quantization accuracy without hyperparameter tuning.
Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face
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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5