BOLD-Q: Blockwise Outlier-aware Logarithmic Dual-Bias Quantization for Hardware-Efficient LLM Inference - researchr publication authors

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Sungsoo Han, Dahun Choi, Hyun Kim. BOLD-Q: Blockwise Outlier-aware Logarithmic Dual-Bias Quantization for Hardware-Efficient LLM Inference. In Design, Automation & Test in Europe Conference, DATE 2026, Verona, Italy, April 20-22, 2026. pages 1-7, IEEE, 2026. [doi]

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