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Menghao Lv

1 accepted papers

2026

SHARP-Q: Spectral Hessian Alignment and Rectification for Post-training Quantization

ICML 2026poster

Post-training quantization (PTQ) suffers from severe accuracy degradation in ultra-low-bit regimes. To address this challenge, we propose SHARP-Q, a unified framework grounded in Information Geometry that aligns the quantization objective with the intrinsic Fisher geometry. Following a "Rectify-then…

Cited by 0SourceScholar