Jiaxu Zhao

According to our database, Jiaxu Zhao authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

On Adversarial Robustness of Language Models in Transfer Learning.

Bohdan Turbal, Anastasiia Mazur, Jiaxu Zhao, Mykola Pechenizkiy

CoRR, January, 2025

Enhancing long-form question answering via reflection with question decomposition.

Junjie Xiao, Wei Wu, Jiaxu Zhao, Meng Fang, Jianxin Wang

Inf. Process. Manag., 2025

FS-GNN: Improving Fairness in Graph Neural Networks via Joint Sparsification.

Jiaxu Zhao, Tianjin Huang, Shiwei Liu, Jie Yin, Yulong Pei, Meng Fang, Mykola Pechenizkiy

Neurocomputing, 2025

Empirical Study of Social Bias in Medical Question Answering via Large Language Models.

Xiao Xiao, Jiaxu Zhao, Terry R. Payne, Meng Fang

Proceedings of the Artificial Intelligence in Healthcare - Second International Conference, 2025

Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models.

Jiaxu Zhao, Meng Fang, Kun Zhang, Mykola Pechenizkiy

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Understanding Large Language Model Vulnerabilities to Social Bias Attacks.

Jiaxu Zhao, Meng Fang, Fanghua Ye, Ke Xu, Qin Zhang, Joey Tianyi Zhou, Mykola Pechenizkiy

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Synergizing Foundation Models and Federated Learning: A Survey.

Shenghui Li, Fanghua Ye, Meng Fang, Jiaxu Zhao, Yun-Hin Chan, Edith C. H. Ngai, Thiemo Voigt

CoRR, 2024

CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models.

Qin Zhang, Sihan Cai, Jiaxu Zhao, Mykola Pechenizkiy, Meng Fang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation.

Jiaxu Zhao, Zijing Shi, Yitong Li, Yulong Pei, Ling Chen, Meng Fang, Mykola Pechenizkiy

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models.

Jiaxu Zhao, Meng Fang, Shirui Pan, Wenpeng Yin, Mykola Pechenizkiy

CoRR, 2023

REST: Enhancing Group Robustness in DNNs Through Reweighted Sparse Training.

Jiaxu Zhao, Lu Yin, Shiwei Liu, Meng Fang, Mykola Pechenizkiy

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models.

Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Sequential multi-headed attention for entity-based relational neural networks.

Dagmawi Moges, Jiaxu Zhao, Hong Qu

Expert Syst. J. Knowl. Eng., 2022

You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.

Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu

Proceedings of the Learning on Graphs Conference, 2022

2021

Twin-GAN for Neural Machine Translation.

Jiaxu Zhao, Li Huang, Ruixuan Sun, Liao Bing, Hong Qu

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021