Yu Fu

According to our database, Yu Fu authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

Reducing the Safety Tax in LLM Safety Alignment with On-Policy Self-Distillation.

Yu Fu, Longxuan Yu, Haz Sameen Shahgir, Zhipeng Wei, Hui Liu, N. Benjamin Erichson, Yue Dong

CoRR, May, 2026

VLMs Need Words: Vision Language Models Ignore Visual Detail In Favor of Semantic Anchors.

Haz Sameen Shahgir, Xiaofu Chen, Yu Fu, Erfan Shayegani, Nael B. Abu-Ghazaleh, Yova Kementchedjhieva, Yue Dong

CoRR, April, 2026

Is Reasoning Capability Enough for Safety in Long-Context Language Models?

Yu Fu, Haz Sameen Shahgir, Huanli Gong, Zhipeng Wei, N. Benjamin Erichson, Yue Dong

CoRR, February, 2026

Thinking Out of Order: When Output Order Stops Reflecting Reasoning Order in Diffusion Language Models.

Longxuan Yu, Yu Fu, Shaorong Zhang, Hui Liu, Mukund Varma T, Greg Ver Steeg, Yue Dong

CoRR, January, 2026

Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models.

Yu Fu, Haz Sameen Shahgir, Hui Liu, Xianfeng Tang, Qi He, Yue Dong

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

TRAWL: Tensor Reduced and Approximated Weights for Large Language Models.

Yiran Luo, Het Patel, Yu Fu, Dawon Ahn, Jia Chen, Yue Dong, Evangelos E. Papalexakis

Proceedings of the Data Science: Foundations and Applications, 2025

Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning.

Yu Fu, Zefan Cai, Abedelkadir Asi, Wayne Xiong, Yue Dong, Wen Xiao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Cross-Task Defense: Instruction-Tuning LLMs for Content Safety.

Yu Fu, Wen Xiao, Jia Chen, Jiachen Li, Evangelos E. Papalexakis, Aichi Chien, Yue Dong

CoRR, 2024

Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack.

Yu Fu, Yufei Li, Wen Xiao, Cong Liu, Yue Dong

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Vulnerabilities of Large Language Models to Adversarial Attacks.

Yu Fu, Erfan Shayegan, Md Abdullah Al Mamun, Pedram Zaree, Nael B. Abu-Ghazaleh, Yue Dong

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts), 2024

Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy.

Yu Fu, Deyi Xiong, Yue Dong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks.

Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, Pedram Zaree, Yue Dong, Nael B. Abu-Ghazaleh

CoRR, 2023

Inverse Reinforcement Learning for Text Summarization.

Yu Fu, Deyi Xiong, Yue Dong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023