ICML2025 Rulebreakers Challenge: Revealing a Blind Spot in Large Language Models’ Reasoning with Formal Logic.
Jason Chan, Robert Gaizauskas, Zhixue Zhao
ICML2025 Position: Editing Large Language Models Poses Serious Safety Risks.
Paul Youssef, Zhixue Zhao, Daniel Braun, Jörg Schlötterer, Christin Seifert
ICLR2025 ScImage: How good are multimodal large language models at scientific text-to-image generation?
Leixin Zhang, Yinjie Cheng, Weihe Zhai, Steffen Eger, Jonas Belouadi, Fahimeh Moafian, Zhixue Zhao.
TACL2025 Investigating Language-Specific Calibration for Pruning Multilingual Large Language Models
Simon Kurz, Jian-Jia Chen, Lucie Flek, Zhixue Zhao
ICWSM26 SCRum-9: Multilingual Stance Classification over Rumours on Social Media
Yue Li, Jake Vasilakes, Zhixue Zhao, Carolina Scarton
AAAI26 Oral Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering
Marco Valentino, Geonhee Kim, Dhairya Dalal, Zhixue Zhao, Andre Freitas
AAAI2026 Poster Making Visual Dialogue More Engaging: A New Task, Method, and Metric
Guanghui Ye, Huan Zhao, Yingxue Gao, Zhixue Zhao, Kehan Wang, Xupeng Zha, Zhihua Jiang
EMNLP2025 Main Minimal, Local, and Robust: Embedding-Only Edits for Implicit Bias in T2I Models
Feng He, Chao Zhang, Zhixue Zhao
EMNLP2025 Main Oral Top15% Label Set Optimization via Activation Distribution Kurtosis for Zero-Shot Classification with Generative Models
Yue Li, Zhixue Zhao, Carolina Scarton
EMNLP2025 Main It’s All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs
Yue Li, Zhixue Zhao, Carolina Scarton
EMNLP2025 Findings Revisiting Pruning vs Quantization for Small Language Models
Zihan Zhou, Simon Kurz, Zhixue Zhao
EMNLP2025 Main Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation?
Samuel Lewis-Lim, Xingwei Tan, Zhixue Zhao, Nikolaos Aletras
ACL2025 Main. Knowledge Image Matters: Improving Knowledge-Based Visual Reasoning with Multi-Image Large Language Models
Guanghui Ye, Huan Zhao, Zhixue Zhao, Xupeng Zha, Yang Liu, Zhihua Jiang
ACL2025 Findings Explainable Hallucination through Natural Language Inference Mapping
Wei-Fan Chen, Zhixue Zhao, Akbar Karimi, Lucie Flek
Knowledge-Based Systems 2025 AI-generated content in cross-domain applications: Research trends, challenges and propositions
Jianxin Li, Liang Qu, Taotao Cai, Zhixue Zhao, Nur Al Hasan Haldar, Aneesh Krishna, Xiangjie Kong, Flavio Romero Macau, Tanmoy Chakraborty, Aniket Deroy, Binshan Lin, Karen Blackmore, Nasimul Noman, Jingxian Cheng, Ningning Cui, Jianliang Xu
IEEE Transactions on Computational Social Systems CCDE: A Compact and Competitive Dialogue Evaluation Framework via Knowledge Distillation of Large Language Models
Guanghui Ye; Huan Zhao; Bo Li; Haijiao Chen; Zhixue Zhao; Zhihua Jiang
NAACL2025 Main How to Make LLMs Forget: On Reversing In-Context Knowledge Edits
Paul Youssef, Zhixue Zhao, Jörg Schlötterer, Christin Seifert.
NAACL2025 Main Oral Has this Fact been Edited? Detecting Knowledge Edits in Language Models?
Paul Youssef, Zhixue Zhao, Jörg Schlötterer, Christin Seifert.
ECIR2025 Do LLMs Provide Consistent Answers to Health-Related Questions Across Languages? Ipek Baris Schlicht, Zhixue Zhao, Burcu Sayin, Lucie Flek, Paolo Rosso
TACL2024 Vol. 12 Investigating Hallucinations in Pruned Large Language Models for Abstractive Summarization.
George Chrysostomou, Zhixue Zhao, Miles Williams, Nikolaos Aletras.
NAACL 2024 Main (oral presentation) Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models.
Zhixue Zhao, Nikolaos Aletras
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.
ReLM@AAAI24 Use ReAGent via Inseq ReAGent: A Model-agnostic Feature Attribution Method for Generative Language Models.
Zhixue Zhao, Boxuan Shan. 2024.
ACL 2023 Main [Oral (the 1st talk was ours)] Incorporating Attribution Importance for Improving Faithfulness Metrics.
Zhixue Zhao, Nikolaos Aletras
EMNLP 2022 Findings On the Impact of Temporal Concept Drift on Model Explanations.
Zhixue Zhao, George Chrysostomou, Kalina Bontcheva, Nikolaos Aletras
Online Social Networks and Media 2022 Utilizing Subjectivity Level to Mitigate Identity Term Bias in Toxic Comments Classification.
Zhixue Zhao, Ziqi Zhang, Frank Hopfgartner
WWW2021 Companion A Comparative Study of Using Pre-trained Language Models for Toxic Comment Classification.
Zhixue Zhao, Ziqi Zhang, Frank Hopfgartner
CICLing 2019 Detecting Toxic Content Online and the Effect of Training Data on Classification Performance.
Zhixue Zhao, Ziqi Zhang, Frank Hopfgartner