Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification. - George Chrysostomou; Nikolaos Aletras (ACL/IJCNLP (1), 2021)

Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience. - George Chrysostomou; Nikolaos Aletras (EMNLP (1), 2021)

Frustratingly Simple Pretraining Alternatives to Masked Language Modeling. - Atsuki Yamaguchi; George Chrysostomou; Katerina Margatina; Nikolaos Aletras (EMNLP (1), 2021)

Variable Instance-Level Explainability for Text Classification. - George Chrysostomou; Nikolaos Aletras (CoRR, 2021)

Flexible Instance-Specific Rationalization of NLP Models. - George Chrysostomou; Nikolaos Aletras (AAAI, 2022)

An Empirical Study on Explanations in Out-of-Domain Settings. - George Chrysostomou; Nikolaos Aletras (ACL (1), 2022)

On the Impact of Temporal Concept Drift on Model Explanations. - Zhixue Zhao; George Chrysostomou; Kalina Bontcheva; Nikolaos Aletras (EMNLP (Findings), 2022)

Explainable Natural Language Processing. - George Chrysostomou (Comput. Linguistics, 2022)

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

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)