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News/SpectrumQuant: Spectrum Alignment for LLM Quantization
arxiv
PublishedOctober 27, 2026 at 4:00 AM

SpectrumQuant: Spectrum Alignment for LLM Quantization

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arXiv:2610.20303v2 Announce Type: replace Abstract: Orthogonal transforms have emerged as an effective tool for low-bit quantization of large language models (LLMs), as they reshape activation distributions without changing the underlying model function. Existing approaches typically rely either on

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