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Co-authors

Nikos AletrasUniversity of SheffieldVerified email at sheffield.ac.uk
George ChrysostomouAssociate Principal NLP Engineer, AstraZenecaVerified email at sheffield.ac.uk
Zhixue ZhaoUniversity of SheffieldVerified email at sheffield.ac.uk

Miles Williams

Miles Williams

University of Sheffield

Verified email at sheffield.ac.uk - Homepage

Natural Language Processing Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
On the Impact of Calibration Data in Post-training Quantization and Pruning M Williams, N Aletras Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024	10*	2024
Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization G Chrysostomou, Z Zhao, M Williams*, N Aletras Transactions of the Association for Computational Linguistics 12, 1163-1181, 2024	6*	2024
Self-calibration for Language Model Quantization and Pruning M Williams, G Chrysostomou, N Aletras arXiv preprint arXiv:2410.17170, 2024		2024
Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning M Williams, N Aletras arXiv preprint arXiv:2309.08708, 2023		2023

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Articles 1–4