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Zhixue Zhao

A Comparative Study of Using Pre-trained Language Models for Toxic Comment Classification
2021 · Zhixue Zhao, Ziqi Zhang, et al. · International World Wide Web Conference (WWW) · 54
Utilizing subjectivity level to mitigate identity term bias in toxic comments classification
2022 · Zhixue Zhao, Ziqi Zhang, et al. · Online Social Networks and Media · 21
Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization
2024 · George Chrysostomou, Zhixue Zhao, et al. · Transactions of the Association for Computational Linguistics · 16
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AI-generated content in cross-domain applications: Research trends, challenges and propositions
2025 · Jianxin Li, Liang Qu, et al. · Knowledge-Based Systems · 15
Do LLMs Provide Consistent Answers to Health-Related Questions Across Languages?
2025 · Ipek Baris Schlicht, Zhixue Zhao, et al. · Lecture notes in computer science · 13
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On the Impact of Temporal Concept Drift on Model Explanations
2022 · Zhixue Zhao, George Chrysostomou, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 8
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Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models
2024 · Zhixue Zhao, Nikolaos Aletras · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 6
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Detecting Toxic Content Online and the Effect of Training Data on Classification Performance
2019 · Zhixue Zhao, Ziqi Zhang, et al. · EasyChair preprint · 6
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ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models
2024 · Zhixue Zhao, Boxuan Shan · 4
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Incorporating Attribution Importance for Improving Faithfulness Metrics
2023 · Zhixue Zhao, Nikolaos Aletras · Proceedings of the conference - Association for Computational Linguistics. Meeting · 4
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Knowledge Image Matters: Improving Knowledge-Based Visual Reasoning with Multi-Image Large Language Models
2025 · Guanghui Ye, Huan Zhao, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 3
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The FAIR database: facilitating access to public health research literature
2024 · Zhixue Zhao, James Thomas, et al. · JAMIA Open · 3
SS-BERT: Mitigating Identity Terms Bias in Toxic Comment Classification by Utilising the Notion of "Subjectivity" and "Identity Terms"
2021 · Zhao, Zhixue, Zhang, Ziqi, et al. · White Rose Research Online (University of Leeds, The University of Sheffield, University of York) · 3
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Explainable Hallucination through Natural Language Inference Mapping
2025 · Wei-Fan Chen, Zhixue Zhao, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 2
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It’s All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs
2025 · Yue Li, Zhixue Zhao, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2
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An algorithm for determination of age-specific fertility rate from initial age structure and total population
2012 · Zhixue Zhao, Baozhu Guo · Journal of Systems Science and Complexity · 2
Revisiting Pruning vs Quantization for Small Language Models
2025 · Zihan Zhou, Simon Kurz, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1
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Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation?
2025 · Samuel Lewis-Lim, Xingwei Tan, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation?
2024 · Zhang, Leixin, Eger, Steffen, et al. · arXiv (Cornell University) · 1
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Can Fine-Tuning Erase Edits? On the Fragile Coexistence of Knowledge Editing and Fine-tuning
2026 · Yinjie Cheng, Paul Youssef, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Zoom In Disparities in Healthcare LLM Q&A
2026 · Ipek Baris Schlicht, Burcu Sayin, et al. · Lecture notes in computer science
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SCRum-9: Multilingual Stance Classification over Rumours on Social Media
2026 · Yue Li, Jake Vasilakes, et al. · Proceedings of the International AAAI Conference on Web and Social Media
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Position: Logical Soundness is not a Reliable Criterion for Neurosymbolic Fact-Checking with LLMs
2026 · Chan, Jason, Gaizauskas, Robert, et al. · arXiv (Cornell University)
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LLMs Decide Early and Explain Later: You Can Stop Them Early
2026 · Ayan Datta, Zhixue Zhao, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Position: On the Methodological Pitfalls of Evaluating Base LLMs for Reasoning
2025 · Chan, Jason, Zhao, Zhixue, et al. · arXiv (Cornell University)
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Works count: 48
Citation count: 165
H-index: 6
I10-index: 5
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