Frustratingly Simple Memory Efficiency for Pre-trained Language Models via Dynamic Embedding Pruning. - Miles Williams; Nikolaos Aletras (CoRR, 2023)

Lighter, yet More Faithful: Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization. - George Chrysostomou; Zhixue Zhao; Miles Williams; Nikolaos Aletras (CoRR, 2023)

How Does Calibration Data Affect the Post-training Pruning and Quantization of Large Language Models? - Miles Williams; Nikolaos Aletras (CoRR, 2023)

On the Impact of Calibration Data in Post-training Quantization and Pruning. - Miles Williams; Nikolaos Aletras (ACL (1), 2024)

Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization. - George Chrysostomou; Zhixue Zhao; Miles Williams; Nikolaos Aletras (Trans. Assoc. Comput. Linguistics, 2024)

Self-calibration for Language Model Quantization and Pruning. - Miles Williams; George Chrysostomou; Nikolaos Aletras (NAACL (Long Papers), 2025)

Compressing Language Models for Specialized Domains. - Miles Williams; George Chrysostomou; Vitor Jeronymo; Nikolaos Aletras (CoRR, 2025)