AACL2026 Findings Edit Robustness Under Fine-Tuning in Text-to-Image Models
Feng He, Marco Valentino, Zhixue Zhao
@inproceedings{he2026editrobustness,
title = {{Edit Robustness Under Fine-Tuning in Text-to-Image Models}},
author = {He, Feng and Valentino, Marco and Zhao, Zhixue},
year = {2026},
booktitle = {Findings of the Association for Computational Linguistics: AACL 2026},
url = {https://openreview.net/forum?id=bfeSYJnUNa#discussion}
}
AACL2026 Findings Think When Unsure: Leveraging Model Confidence to Decide When to Use Chain-of-Thought
Samuel Lewis-Lim, Xingwei Tan, Zhixue Zhao, Nikolaos Aletras
@inproceedings{lewislim2026think,
title = {{Think When Unsure: Leveraging Model Confidence to Decide When to Use Chain-of-Thought}},
author = {Lewis-Lim, Samuel and Tan, Xingwei and Zhao, Zhixue and Aletras, Nikolaos},
year = {2026},
booktitle = {Findings of the Association for Computational Linguistics: AACL 2026},
url = {https://openreview.net/forum?id=I6R1yvcCFg#discussion}
}
AACL2026 Findings From Early Encoding to Late Suppression: Interpreting LLMs on Character Counting Tasks
Ayan Datta, Mounika Marreddy, Alexander Mehler, Zhixue Zhao, Radhika Mamidi
@inproceedings{datta2026counting,
title = {{From Early Encoding to Late Suppression: Interpreting LLMs on Character Counting Tasks}},
author = {Datta, Ayan and Marreddy, Mounika and Mehler, Alexander and Zhao, Zhixue and Mamidi, Radhika},
year = {2026},
booktitle = {Findings of the Association for Computational Linguistics: AACL 2026},
url = {https://openreview.net/forum?id=aGdiFNOK82}
}
ECIR2025 Do LLMs Provide Consistent Answers to Health-Related Questions Across Languages?
Ipek Baris Schlicht, Zhixue Zhao, Burcu Sayin, Lucie Flek, Paolo Rosso
@inproceedings{schlicht2025consistent,
title = {{Do LLMs Provide Consistent Answers to Health-Related Questions Across Languages?}},
author = {Schlicht, Ipek Baris and Zhao, Zhixue and Sayin, Burcu and Flek, Lucie and Rosso, Paolo},
year = {2025},
booktitle = {Advances in Information Retrieval},
series = {Lecture Notes in Computer Science},
volume = {15574},
pages = {314--322},
publisher = {Springer Nature Switzerland},
doi = {10.1007/978-3-031-88714-7_30},
url = {https://link.springer.com/chapter/10.1007/978-3-031-88714-7_30}
}
TACL2024 Vol. 12 Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization.
George Chrysostomou, Zhixue Zhao, Miles Williams, Nikolaos Aletras.
@article{chrysostomou-etal-2024-investigating,
title = "Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization",
author = "Chrysostomou, George and
Zhao, Zhixue and
Williams, Miles and
Aletras, Nikolaos",
journal = "Transactions of the Association for Computational Linguistics",
volume = "12",
year = "2024",
address = "Cambridge, MA",
publisher = "MIT Press",
url = "https://aclanthology.org/2024.tacl-1.64/",
doi = "10.1162/tacl_a_00695",
pages = "1163--1181"
}
NAACL 2024 Main (oral presentation) Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models.
Zhixue Zhao, Nikolaos Aletras
@inproceedings{zhao-aletras-2024-comparing,
title = "Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models",
author = "Zhao, Zhixue and
Aletras, Nikolaos",
editor = "Duh, Kevin and
Gomez, Helena and
Bethard, Steven",
booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
month = jun,
year = "2024",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.naacl-long.178/",
doi = "10.18653/v1/2024.naacl-long.178",
pages = "3226--3244"
}
JAMIA Vol.7 4(2024) The FAIR database: facilitating access to public health research literature.
Zhixue Zhao, James Thomas, Gregory Kell, Claire Stansfield, Mark Clowes, Sergio Graziosi, Jeff Brunton, Iain James Marshall, Mark Stevenson.
@article{zhao2024fair,
title = {{The FAIR database: facilitating access to public health research literature}},
author = {Zhao, Zhixue and Thomas, James and Kell, Gregory and Stansfield, Claire and Clowes, Mark and Graziosi, Sergio and Brunton, Jeff and Marshall, Iain James and Stevenson, Mark},
year = {2024},
journal = {JAMIA Open},
volume = {7},
number = {4},
pages = {ooae139},
doi = {10.1093/jamiaopen/ooae139},
url = {https://academic.oup.com/jamiaopen/article/7/4/ooae139/7923185}
}
ReLM@AAAI24 Use ReAGent via Inseq ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models.
Zhixue Zhao, Boxuan Shan. 2024.
@misc{zhao2024reagent,
title = {{ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models}},
author = {Zhao, Zhixue and Shan, Boxuan},
year = {2024},
eprint = {2402.00794},
archivePrefix = {arXiv},
primaryClass = {cs.CL},
url = {https://arxiv.org/abs/2402.00794}
}
ACL 2023 Main [Oral (the 1st talk was ours)] Incorporating Attribution Importance for Improving Faithfulness Metrics.
Zhixue Zhao, Nikolaos Aletras
@inproceedings{zhao-aletras-2023-incorporating,
title = "Incorporating Attribution Importance for Improving Faithfulness Metrics",
author = "Zhao, Zhixue and
Aletras, Nikolaos",
editor = "Rogers, Anna and
Boyd-Graber, Jordan and
Okazaki, Naoaki",
booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.acl-long.261/",
doi = "10.18653/v1/2023.acl-long.261",
pages = "4732--4745"
}
EMNLP 2022 Findings On the Impact of Temporal Concept Drift on Model Explanations.
Zhixue Zhao, George Chrysostomou, Kalina Bontcheva, Nikolaos Aletras
@inproceedings{zhao-etal-2022-impact,
title = "On the Impact of Temporal Concept Drift on Model Explanations",
author = "Zhao, Zhixue and
Chrysostomou, George and
Bontcheva, Kalina and
Aletras, Nikolaos",
editor = "Goldberg, Yoav and
Kozareva, Zornitsa and
Zhang, Yue",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2022",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.findings-emnlp.298/",
doi = "10.18653/v1/2022.findings-emnlp.298",
pages = "4039--4054"
}
Online Social Networks and Media 2022 Utilizing Subjectivity Level to Mitigate Identity Term Bias in Toxic Comments Classification.
Zhixue Zhao, Ziqi Zhang, Frank Hopfgartner
@article{zhao2022subjectivity,
title = {{Utilizing Subjectivity Level to Mitigate Identity Term Bias in Toxic Comments Classification}},
author = {Zhao, Zhixue and Zhang, Ziqi and Hopfgartner, Frank},
year = {2022},
journal = {Online Social Networks and Media},
volume = {29},
pages = {100205},
doi = {10.1016/j.osnem.2022.100205},
url = {https://eprints.whiterose.ac.uk/id/eprint/186277/}
}
WWW2021 Companion A Comparative Study of Using Pre-trained Language Models for Toxic Comment Classification.
Zhixue Zhao, Ziqi Zhang, Frank Hopfgartner
@inproceedings{zhao2021comparative,
title = {{A Comparative Study of Using Pre-trained Language Models for Toxic Comment Classification}},
author = {Zhao, Zhixue and Zhang, Ziqi and Hopfgartner, Frank},
year = {2021},
booktitle = {Companion Proceedings of the Web Conference 2021},
publisher = {Association for Computing Machinery},
doi = {10.1145/3442442.3452313},
url = {https://eprints.whiterose.ac.uk/id/eprint/173371/}
}
CICLing 2019 Detecting Toxic Content Online and the Effect of Training Data on Classification Performance.
Zhixue Zhao, Ziqi Zhang, Frank Hopfgartner
@misc{zhao2019detecting,
title = {{Detecting Toxic Content Online and the Effect of Training Data on Classification Performance}},
author = {Zhao, Zhixue and Zhang, Ziqi and Hopfgartner, Frank},
year = {2019},
howpublished = {EasyChair Preprint 872},
doi = {10.29007/z5xk},
url = {https://easychair.org/publications/preprint/XGmR}
}