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News/SSR: Sparse Segment Reduction for Ternary GEMM Acceleration
arxiv
PublishedOctober 7, 2026 at 4:00 AM

SSR: Sparse Segment Reduction for Ternary GEMM Acceleration

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arXiv:2610.08403v1 Announce Type: new Abstract: Large Language Models (LLMs) require substantial computational resources, limiting their deployment on resource-constrained hardware. Ternary LLMs mitigate these demands through weight quantization via ternary values, achieving significant compression

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