About me

I’m a fourth-year Ph.D. student in Computer Science at the University of California, Riverside, advised by Prof. Yue Dong.

My research focuses on building safe, reliable, and efficient large language models (LLMs). My work spans safety alignment, long-context understanding, and efficient inference.

Previously, I received my M.Sc. from Tianjin University, advised by Prof. Deyi Xiong, and my B.S. from Xidian University.

News

• [09/2026] Our paper Do Reasoning LLMs Refuse What They Infer in Long Contexts? was accepted to NeurIPS 2026.

• [04/2026] Our paper Anchoring the Cache: Mitigating Contextual Hallucination in KV-Compressed Long-Context Summarization was accepted to ACL 2026.

• [11/2025] Our paper Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models was accepted to the AAAI2026.

• [01/2025] Our paper Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning was accepted to the ICLR2025.

• [10/2024] Completed my internship at Microsoft and really appreciated the guidance from my leaders there. Our paper Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning now available on Arxiv.

• [05/2024] Our paper Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack was accepted to ACL2024. Demo

• [05/2024] Our paper Cross-Task Defense: Instruction-Tuning LLMs for Content Safety was accepted to NAACL2024 TrustNLP workshop.

• [02/2024] Our paper Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack now available on Arxiv. Demo

• [12/2023] Our paper Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy was accepted to AAAI2024.

• [10/2023] Our paper Inverse Reinforcement Learning for Text Summarization was accepted to the findings of EMNLP2023. !v!

• [10/2023] Our tutorial on Vulnerabilities of Large Language Models to Adversarial Attacks was accepted to ACL2024.

• [09/2023] I have successfully started my academic journey at UC Riverside. :)

Publications

• Yu Fu, Haz Sameen Shahgir, Zhipeng Wei, Huanli Gong, N. Benjamin Erichson, Yue Dong (2026). Do Reasoning LLMs Refuse What They Infer in Long Contexts? (NeurIPS 2026).

• Yu Fu, Chen Luo, Josef Valvoda, Xin Zhang, Xuejing Lei, Xiao Pan, Hui Liu, Yue Dong (2026). Anchoring the Cache: Mitigating Contextual Hallucination in KV-Compressed Long-Context Summarization (ACL 2026).

• Yu Fu, Haz Sameen Shahgir, Hui Liu, Xianfeng Tang, Qi He, Yue Dong. Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models (AAAI2026).

• Yu Fu, Zefan Cai, AbedelKadir Asi, Wayne Xiong, Yue Dong, Wen Xiao (2025). Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning (ICLR2025).

• Yu Fu, Yufei Li, Wen Xiao, Cong Liu, Yue Dong (2024). Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack (ACL2024).

• Yu Fu, Wen Xiao, Jia Chen, Jiachen Li, Evangelos Papalexakis, Aichi Chien and Yue Dong (2024).Cross-Task Defense: Instruction-Tuning LLMs for Content Safety (TrustNLP: Fourth Workshop on Trustworthy Natural Language Processing NAACL2024).

• Yu Fu, Deyi Xiong, Yue Dong (2023). Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy (AAAI 2024).
• Yu Fu, Deyi Xiong, Yue Dong (2023). Inverse Reinforcement Learning for Text Summarization (findings of EMNLP2023).
• Jie He, Yu Fu (2023) MetaXCR: Reinforcement-Based Meta-Transfer Learning for Cross-Lingual Commonsense Reasoning (Transfer Learning for Natural Language Processing Workshop).
• Fan Deng, Zhenhua Yu, Wenjing Liu, Xiaoqing Luo, Yu Fu, Ben Qiang, Chaoyang Xu, Zhiwu Li (2021). An efficient policy evaluation engine for XACML policy management (Information Science).

Education

• Ph.D. in Computer Science at University of California, Riverside (2023.9-now)

• M.Sc. in Computer Technology at Tianjin University (2020.9-2023.6)

• B.S. in Software Engineering at Xidian University (2016.9-2020.9)