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Conference Open access 2026

ACBQ: Adaptive Cross-Block Quantization of Large Language Models

ACBQ is presented, a simple yet effective framework that simultaneously addresses weight–activation joint quantization and extreme low-bit weight quantization and an adaptive cross-block quantization strategy that explicitly accounts for cross-layer dependencies by encouraging consistency across blocks.

Hailing Wang, Jianglin Lu, Yitian Zhang et al. · 0 citations