Zhiyu Xue

According to our database, Zhiyu Xue authored at least 20 papers between 2020 and 2026.

Collaborative distances:

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

2026

Counting Circuits: Mechanistic Interpretability of Visual Reasoning in Large Vision-Language Models.

Liwei Che, Zhiyu Xue, Yihao Quan, Benlin Liu, Zeru Shi, Michelle Hurst, Jacob Feldman, Ruixiang Tang, Ranjay Krishna, Vladimir Pavlovic

CoRR, March, 2026

Deactivating Refusal Triggers: Understanding and Mitigating Overrefusal in Safety Alignment.

Zhiyu Xue, Zimo Qi, Guangliang Liu, Bocheng Chen, Ramtin Pedarsani

CoRR, March, 2026

Benchmarking and Mitigating the Impact of Noisy User Prompts in Medical VLMs via Cross-Modal Reflection.

Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations.

Zhiyu Xue, Reza Abbasi-Asl, Ramtin Pedarsani

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

On the Convergence of Moral Self-Correction in Large Language Models.

Guangliang Liu, Haitao Mao, Bochuan Cao, Xitong Zhang, Zhiyu Xue, Rongrong Wang, Kristen Marie Johnson

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models.

Sajjad Ghiasvand, Yifan Yang, Zhiyu Xue, Mahnoosh Alizadeh, Zheng Zhang, Ramtin Pedarsani

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

No Free Lunch for Defending Against Prefilling Attack by In-Context Learning.

Zhiyu Xue, Guangliang Liu, Bocheng Chen, Kristen Marie Johnson, Ramtin Pedarsani

CoRR, 2024

Smaller Large Language Models Can Do Moral Self-Correction.

Guangliang Liu, Zhiyu Xue, Rongrong Wang, Kristen Marie Johnson

CoRR, 2024

Conflict-Aware Adversarial Training.

Zhiyu Xue, Haohan Wang, Yao Qin, Ramtin Pedarsani

CoRR, 2024

On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept.

Guangliang Liu, Haitao Mao, Bochuan Cao, Zhiyu Xue, Kristen Marie Johnson, Jiliang Tang, Rongrong Wang

CoRR, 2024

Initialization Matters for Adversarial Transfer Learning.

Andong Hua, Jindong Gu, Zhiyu Xue, Nicholas Carlini, Eric Wong, Yao Qin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploring Minimally Sufficient Representation in Active Learning through Label-Irrelevant Patch Augmentation.

Zhiyu Xue, Yinlong Dai, Qi Lei

Proceedings of the Conference on Parsimony and Learning, 2024

Towards Understanding Task-agnostic Debiasing Through the Lenses of Intrinsic Bias and Forgetfulness.

Guangliang Liu, Milad Afshari, Xitong Zhang, Zhiyu Xue, Avrajit Ghosh, Bidhan Bashyal, Rongrong Wang, Kristen Marie Johnson

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

2023

PAC-tuning: Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient Descent.

Guangliang Liu, Zhiyu Xue, Xitong Zhang, Kristen Marie Johnson, Rongrong Wang

CoRR, 2023

Group AdaBoost with Fairness Constraint.

Zhiyu Xue

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

PAC-tuning: Fine-tuning Pre-trained Language Models with PAC-driven Perturbed Gradient Descent.

Guangliang Liu, Zhiyu Xue, Xitong Zhang, Kristen Marie Johnson, Rongrong Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Differentially Private Pairwise Learning Revisited.

Zhiyu Xue, Shaoyang Yang, Mengdi Huai, Di Wang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

SACT: A New Model of Covert Communication Based on SDN.

Leyi Shi, Yuxiao Song, Zhiyu Xue, Yihao Liu, Honglong Chen

Sensors, 2020

Region Comparison Network for Interpretable Few-shot Image Classification.

Zhiyu Xue, Lixin Duan, Wen Li, Lin Chen, Jiebo Luo

CoRR, 2020

Relative Position and Map Networks in Few-shot Learning for Image Classification.

Zhiyu Xue, Zhenshan Xie, Zheng Xing, Lixin Duan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020