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News/ConQuR: Corner Aligned Activation Quantization via Optimized Rotations for LLMs
arxiv
PublishedOctober 3, 2026 at 4:00 AM

ConQuR: Corner Aligned Activation Quantization via Optimized Rotations for LLMs

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arXiv:2605.10793v2 Announce Type: replace Abstract: Large language models (LLMs) are costly to deploy due to their large memory footprint and high inference cost. Weight-activation quantization can reduce these costs, but low-bit activation quantization remains difficult because activation outliers

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