| A comparative study of using pre-trained language models for toxic comment classification Z Zhao, Z Zhang, F Hopfgartner Companion Proceedings of the Web Conference 2021, 500-507, 2021 | 60 | 2021 |
| On the Impact of Temporal Concept Drift on Model Explanations Z Zhao, G Chrysostomou, K Bontcheva, N Aletras The 2022 Conference on Empirical Methods in Natural Language Processing …, 2022 | 12 | 2022 |
| SS-BERT: Mitigating Identity Terms Bias in Toxic Comment Classification by Utilising the Notion of" Subjectivity" and" Identity Terms" Z Zhao, Z Zhang, F Hopfgartner arXiv preprint arXiv:2109.02691, 2021 | 10 | 2021 |
| Incorporating Attribution Importance for Improving Faithfulness Metrics Z Zhao, A Nikolaos 61st Annual Meeting of the Association for Computational Linguistics 1 (Long …, 2023 | 9 | 2023 |
| Utilizing subjectivity level to mitigate identity term bias in toxic comments classification Z Zhao, Z Zhang, F Hopfgartner Online Social Networks and Media 29, 100205, 2022 | 8 | 2022 |
| Detecting toxic content online and the effect of training data on classification performance Z Zhao, Z Zhang, F Hopfgartner CICLing 2019, 2019 | 7 | 2019 |
| 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 | 5 | 2024 |
| ReAGent: Towards A Model-agnostic Feature Attribution Method for Generative Language Models Z Zhao, B Shan ReLM at AAAI24, 2024 | 4 | 2024 |
| Detecting Edited Knowledge in Language Models P Youssef, Z Zhao, J Schlötterer, C Seifert arXiv preprint arXiv:2405.02765, 2024 | 3 | 2024 |
| Using Pre-trained Language Models for Toxic Comment Classification Z Zhao University of Sheffield, 2022 | 3 | 2022 |
| Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models Z Zhao, N Aletras NAACL 2024, 2024 | 2 | 2024 |
| Department of Computer Science, University of Sheffield Z Zhao, B Shan | 2 | 2024 |
| ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation? L Zhang, S Eger, Y Cheng, W Zhai, J Belouadi, C Leiter, SP Ponzetto, ... ICLR2025, 2024 | 1 | 2024 |
| Language-specific Calibration for Pruning Multilingual Language Models S Kurz, JJ Chen, L Flek, Z Zhao arXiv e-prints, arXiv: 2408.14398, 2024 | 1 | 2024 |
| Lighter, yet More Faithful: Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization G Chrysostomou, Z Zhao, M Williams, N Aletras arXiv preprint arXiv:2311.09335, 2023 | 1 | 2023 |
| Position: Editing Large Language Models Poses Serious Safety Risks P Youssef, Z Zhao, D Braun, J Schlötterer, C Seifert arXiv preprint arXiv:2502.02958, 2025 | | 2025 |
| Exploring Vision Language Models for Multimodal and Multilingual Stance Detection J Vasilakes, C Scarton, Z Zhao arXiv preprint arXiv:2501.17654, 2025 | | 2025 |
| Do LLMs Provide Consistent Answers to Health-Related Questions across Languages? IB Schlicht, Z Zhao, B Sayin, L Flek, P Rosso arXiv preprint arXiv:2501.14719, 2025 | | 2025 |
| Do LLMs Provide Consistent Answers to Health-Related Questions across Languages? I Baris Schlicht, Z Zhao, B Sayin, L Flek, P Rosso arXiv e-prints, arXiv: 2501.14719, 2025 | | 2025 |
| Implicit Priors Editing in Stable Diffusion via Targeted Token Adjustment F He, C Zhang, Z Zhao arXiv preprint arXiv:2412.03400, 2024 | | 2024 |
Frank HopfgartnerUniversität Koblenz, University of SheffieldAdresse e-mail validée de uni-koblenz.de
