🧑‍🔬 Who cites Xuhao Hu

114 citations of their works from 107 papers of our library (of the 149,439 whose bibliographies we read) · 24 with a page here, the most cited first · ← Xuhao Hu

1. WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsConference on Neural Information Processing Systems (NeurIPS)Seungju Han, Kavel Rao, Allyson Ettinger, et al.2024 · 165 citations
2. AudioBench: A Universal Benchmark for Audio Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bin Wang, Xunlong Zou, Geyu Lin, et al.2025 · 77 citations
3. OR-Bench: An Over-Refusal Benchmark for Large Language ModelsarXiv:2405.20947Justin Cui, Wei-Lin Chiang, Ion Stoica, et al.2024 · 76 citations
4. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
5. SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model SafetyarXiv:2404.05399Paul Rottger, Fabio Pernisi, Bertie Vidgen, et al.2024 · 33 citations
6. VLSBench: Unveiling Visual Leakage in Multimodal SafetyAnnual Meeting of the Association for Computational Linguistics (ACL)Xuhao Hu, Dongrui Liu, Hao Li, et al.2025 · 32 citations
7. The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1International Joint Conference on Natural Language Processing (IJCNLP)Kaiwen Zhou, Chengzhi Liu, Xuandong Zhao, et al.2025 · 30 citations
8. Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety AlignmentConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Li, Lijun Li, Zhenghao Lu, et al.2025 · 11 citations
9. SaRO: Enhancing LLM Safety through Reasoning-based AlignmentarXiv:2504.09420Yutao Mou, Yuxiao Luo, Shikun Zhang, et al.2025 · 11 citations
10. Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context InjectionConference on Empirical Methods in Natural Language Processing (EMNLP)Miao Ziqi, Yi Ding, Lijun Li, et al.2025 · 6 citations
11. FanarGuard: A Culturally-Aware Moderation Filter for Arabic Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Masoomali Fatehkia, Enes Altinisik, Husrev Taha Sencar2026 · 5 citations
12. LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-DisjointAnnual Meeting of the Association for Computational Linguistics (ACL)Qianli Ma, Dongrui Liu, Qian Chen, et al.2025 · 5 citations
13. Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language ModelsarXiv:2412.15265Yingshui Tan, Boren Zheng, Baihui Zheng, et al.2024 · 4 citations
14. SafeMT: Multi-turn Safety for Multimodal Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Han Zhu, Juntao Dai, Jiaming Ji, et al.2026 · 3 citations
15. ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and FeedbackFindings of the Association for Computational LinguisticsYutao Mou, Zhangchi Xue, Lijun Li, et al.2026 · 3 citations
16. SafeConstellations: Mitigating Over-Refusals in LLMs Through Task-Aware Representation SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Utsav Maskey, Sumit Yadav, Mark Dras, et al.2026 · 1 citation
17. USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELSAnnual Meeting of the Association for Computational Linguistics (ACL)Baolin Zheng, Guanlin Chen, Qingyang Teng, et al.2026 · 1 citation
18. When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily LifeFindings of the Association for Computational LinguisticsXinyue Lou, Xu Jinan, Jingyi Yin, et al.2026 · 1 citation
19. Jailbreaking Large Language Models with Morality AttacksFindings of the Association for Computational LinguisticsYing Su, Zheng Mingen, Weili Diao, et al.2026
20. Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and BenchmarksFindings of the Association for Computational LinguisticsNobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, et al.2026
21. Safe-FedLLM: Delving into the Safety of Federated Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingxiang Tao, Yu Tian, Wenxuan Tu, et al.2026
22. Thinking Twice Makes Large Language Models Safer and More HelpfulFindings of the Association for Computational LinguisticsYutao Mou, Yuxiao Luo, Shikun Zhang, et al.2026
23. Towards Understanding the Robustness of Sparse AutoencodersFindings of the Association for Computational LinguisticsAhson Saiyed, Sabrina Sadiekh, Chirag Agarwal2026
24. When Safety Alignment Fails to Generalize: Probing with Language Game JailbreaksFindings of the Association for Computational LinguisticsZewen Long, Yu Peng, Fangming Dong, et al.2026

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