most citedWhat Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation

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cs.LG2024

Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers

Xin Cheng, Xiuying Chen, Shuqi Li +4

Time series prediction is crucial for understanding and forecasting complex dynamics in various domains, ranging from finance and economics to climate and healthcare. Based on Tran…

cs.LG2024★ 2 cited

What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation

Zhuocheng Gong, Jiahao Liu, Jingang Wang +3

Quantization has emerged as a promising technique for improving the memory and computational efficiency of large language models (LLMs). Though the trade-off between performance an…