🧑‍🔬 Who cites Guangyao Dou

78 citations of their works from 71 papers of our library (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · ← Guangyao Dou

1. Negative Preference Optimization: From Catastrophic Collapse to Effective UnlearningarXiv:2404.05868Ruiqi Zhang, Licong Lin, Yu Bai, et al.2024 · 126 citations
2. Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuningConference on Empirical Methods in Natural Language Processing (EMNLP)Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, et al.2024 · 86 citations
3. SOUL: Unlocking the Power of Second-Order Optimization for LLM UnlearningConference on Empirical Methods in Natural Language Processing (EMNLP)Jinghan Jia, Yihua Zhang, Yimeng Zhang, et al.2024 · 46 citations
4. Personalized Pieces: Efficient Personalized Large Language Models through Collaborative EffortsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhaoxuan Tan, Zheyuan Liu, Meng Jiang2024 · 40 citations
5. Protecting Privacy in Multimodal Large Language Models with MLLMU-BenchConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zheyuan Liu, Guangyao Dou, Mengzhao Jia, et al.2025 · 24 citations
6. 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
7. AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak DefenderConference on Empirical Methods in Natural Language Processing (EMNLP)Weixiang Zhao, Jiahe Guo, Yulin Hu, et al.2025 · 11 citations
8. Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language ModelsInternational Conference on Computational Linguistics (COLING)Anmol Mekala, Vineeth Dorna, Shreya Dubey, et al.2025 · 10 citations
9. Model Unlearning via Sparse Autoencoder Subspace Guided ProjectionsConference on Empirical Methods in Natural Language Processing (EMNLP)Xu Wang, Zihao Li, Benyou Wang, et al.2025 · 8 citations
10. Superficial Self-Improved Reasoners Benefit from Model MergingConference on Empirical Methods in Natural Language Processing (EMNLP)Xiangchi Yuan, Chunhui Zhang, Zheyuan Liu, et al.2025 · 8 citations
11. Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy MaximizationInternational Conference on Computational Linguistics (COLING)Zhaohan Zhang, Ziquan Liu, Ioannis Patras2025 · 7 citations
12. Growing Through Experience: Scaling Episodic Grounding in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chunhui Zhang, Sirui Wang, Zhongyu Ouyang, et al.2025 · 5 citations
13. BLUR: A Bi-Level Optimization Approach for LLM UnlearningConference of the European Chapter of the Association for Computational Linguistics (EACL)Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, et al.2026 · 4 citations
14. 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
15. Behavior Knowledge Merge in Reinforced Agentic ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangchi Yuan, Dachuan Shi, Chunhui Zhang, et al.2026 · 3 citations
16. CAP: Controllable Alignment Prompting for Unlearning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaokun Wang, Jinyu Guo, Jingwen Pu, et al.2026
17. HearSay Benchmark: Do Audio LLMs Leak What They Hear?Findings of the Association for Computational LinguisticsJin Wang, Kaiwen Luo, Liang Lin, et al.2026
18. 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
19. 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

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