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Zhewei Yao

ZeroQuant-V2: Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation
A Comprehensive Study on Post-Training Quantization for Large Language Models
Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases
DySR: Adaptive Super-Resolution via Algorithm and System Co-design
Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers

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