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20242026
most citedMultilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study

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cs.AI2026

The Quantization Trap: Breaking Linear Scaling Laws in Multi-Hop Reasoning

Henry Han, Xiyang Liu, Xiaodong Wang +2

Neural scaling laws provide a predictable recipe for AI advancement: reducing numerical precision should linearly improve computational efficiency and energy profile ($E \propto \m…