Jiaxu Zhao

19 papers A* 1Journal 9Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models.
AAAI
Jiaxu Zhao, Meng Fang, Mingze Zhong, Shunfeng Zheng, Ling Chen, Mykola Pechenizkiy
2025 — conf
Empirical Study of Social Bias in Medical Question Answering via Large Language Models.
AIiH (1)
Xiao Xiao, Jiaxu Zhao, Terry R. Payne, Meng Fang
2025 J jnl
Enhancing long-form question answering via reflection with question decomposition.
Inf. Process. Manag.
Junjie Xiao, Wei Wu, Jiaxu Zhao, Meng Fang, Jianxin Wang
2025 J jnl
FS-GNN: Improving Fairness in Graph Neural Networks via Joint Sparsification.
Neurocomputing
Jiaxu Zhao, Tianjin Huang, Shiwei Liu, Jie Yin, Yulong Pei, Meng Fang, Mykola Pechenizkiy
2025 J jnl
On Adversarial Robustness of Language Models in Transfer Learning.
CoRR
Bohdan Turbal, Anastasiia Mazur, Jiaxu Zhao, Mykola Pechenizkiy
2025 — conf
Understanding Large Language Model Vulnerabilities to Social Bias Attacks.
ACL (1)
Jiaxu Zhao, Meng Fang, Fanghua Ye, Ke Xu, Qin Zhang, Joey Tianyi Zhou, Mykola Pechenizkiy
2025 — conf
Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models.
ACL (1)
Jiaxu Zhao, Meng Fang, Kun Zhang, Mykola Pechenizkiy
2024 — conf
CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models.
EMNLP (Findings)
Qin Zhang, Sihan Cai, Jiaxu Zhao, Mykola Pechenizkiy, Meng Fang
2024 — conf
More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation.
ACL (Findings)
Jiaxu Zhao, Zijing Shi, Yitong Li, Yulong Pei, Ling Chen, Meng Fang, Mykola Pechenizkiy
2024 J jnl
Synergizing Foundation Models and Federated Learning: A Survey.
CoRR
Shenghui Li, Fanghua Ye, Meng Fang, Jiaxu Zhao, Yun-Hin Chan, Edith C. H. Ngai, Thiemo Voigt
2023 — conf
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models.
ACL (1)
Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy
2023 J jnl
CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models.
CoRR
Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy
2023 J jnl
GPTBIAS: A Comprehensive Framework for Evaluating Bias in Large Language Models.
CoRR
Jiaxu Zhao, Meng Fang, Shirui Pan, Wenpeng Yin, Mykola Pechenizkiy
2023 — conf
REST: Enhancing Group Robustness in DNNs Through Reweighted Sparse Training.
ECML/PKDD (2)
Jiaxu Zhao, Lu Yin, Shiwei Liu, Meng Fang, Mykola Pechenizkiy
2023 J jnl
REST: Enhancing Group Robustness in DNNs through Reweighted Sparse Training.
CoRR
Jiaxu Zhao, Lu Yin, Shiwei Liu, Meng Fang, Mykola Pechenizkiy
2022 J jnl
Sequential multi-headed attention for entity-based relational neural networks.
Expert Syst. J. Knowl. Eng.
Dagmawi Moges, Jiaxu Zhao, Hong Qu
2022 — conf
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.
LoG
Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu
2022 J jnl
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.
CoRR
Tianjin Huang, Tianlong Chen, Meng Fang, Vlado Menkovski, Jiaxu Zhao, Lu Yin, Yulong Pei, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy, Shiwei Liu
2021 — conf
Twin-GAN for Neural Machine Translation.
ICAART (2)
Jiaxu Zhao, Li Huang, Ruixuan Sun, Liao Bing, Hong Qu