🔗 Who cites «Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench»

19 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench»

1. Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, et al.2025 · 12 citations
2. OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsHao Zheng, Zirui Pang, Ling Li, et al.2026 · 4 citations
3. HearSay Benchmark: Do Audio LLMs Leak What They Hear?Findings of the Association for Computational LinguisticsJin Wang, Kaiwen Luo, Liang Lin, et al.2026
4. LOTUS: Evolving Multimodal Unlearning via Hyperbolic Entailment and Lorentz TransportAnnual Meeting of the Association for Computational Linguistics (ACL)Zekun Wang, Jingjie Zeng, Yingxu Li, et al.2026
5. 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
6. UMMF: Protecting Copyright of Large Vision-Language Models through Unlearning-based Multimodal Memorization FingerprintAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaofan Zheng, Xinghao Wang, Xiaojun Wan2026

13 more papers of our library cite it; they have no page here yet.

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