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Active since
2022
Mickaël Seznec is an author specializing in computer engineering, language studies, and parallel computing.
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LanguageEngineeringLinguisticsDeep LearningComputer ScienceMachine LearningParallel ComputingMachine TranslationComputer EngineeringComputer Architecture
Publications per year
2022–2022
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Guangxuan Xiao, Ji Lin, Mickaël Seznec · arXiv (Cornell University) · 2022 · 96 citations · Full text
Efficient Post-training Quantization, Structured Prediction, Llm Fine-tuning +20
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