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TWLA: Achieving Ternary Weights and Low-Bit Activations for LLMs via Post-Training Quantization
提出TWLA方法，通过后训练量化实现大模型的三值权重和低位激活，已被ICML 2026接收，性能与效率兼顾。
arXiv:2606.13054v1 Announce Type: cross Abstract: Large language models (LLMs) exhibit exceptional general language processing capabilities, but their…