The Quantization Trap: Breaking Linear Scaling Laws in Multi-Hop Reasoning
arXiv:2602.13595v1 Announce Type: new Abstract: Neural scaling laws provide a predictable recipe for AI advancement: reducing numerical precision should linearly improve computational efficiency and energy …
Henry Han, Xiyang Liu, Xiaodong Wang, Fei Han, Xiaodong Li
조회수 30회