🔗 Who cites «In-Context Unlearning: Language Models as Few Shot Unlearners»

68 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← back to «In-Context Unlearning: Language Models as Few Shot Unlearners»

1. Large Language Model UnlearningConference on Neural Information Processing Systems (NeurIPS)Yuanshun Yao, Xiaojun Xu, Yang Liu2023 · 174 citations
2. TOFU: A Task of Fictitious Unlearning for LLMsarXiv:2401.06121Pratyush Maini, Zhili Feng, Avi Schwarzschild, et al.2024 · 144 citations
3. The WMDP Benchmark: Measuring and Reducing Malicious Use With UnlearningarXiv:2403.03218Nathaniel Li, Alexander Pan, Anjali Gopal, et al.2024 · 127 citations
4. Negative Preference Optimization: From Catastrophic Collapse to Effective UnlearningarXiv:2404.05868Ruiqi Zhang, Licong Lin, Yu Bai, et al.2024 · 126 citations
5. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
6. Rephrase and Respond: Let Large Language Models Ask Better Questions for ThemselvesarXiv:2311.04205Yihe Deng, Weitong Zhang, Zixiang Chen, et al.2023 · 62 citations
7. 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
8. MoRAL: MoE Augmented LoRA for LLMs' Lifelong LearningarXiv:2402.11260Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang2024 · 21 citations
9. Soft Prompting for Unlearning in Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Karuna Bhaila, Minh-Hao Van, Xintao Wu2025 · 16 citations
10. RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language ModelsarXiv:2406.01983Bichen Wang, Yuzhe Zi, Yixin Sun, et al.2024 · 12 citations
11. 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
12. Modeling LLM Unlearning as an Asymmetric Two-Task Learning ProblemAnnual Meeting of the Association for Computational Linguistics (ACL)Zeguan Xiao, Siqing Li, Yong Wang, et al.2026 · 2 citations
13. Erasing Without Remembering: Implicit Knowledge Forgetting in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Huazheng Wang, Yongcheng Jing, Haifeng Sun, et al.2026 · 1 citation
14. 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
15. CheckMIABench: Firm Foundations For Membership Inference Attacks on Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jeffrey George Wang, Jason Wang, Marvin Li, et al.2026
16. Decoding-Unlearning: Fact Forgetting via Entropy-Guided InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jingwen Pu, Mingjun Shi, Xinrui Ren, et al.2026
17. From Domains to Instances: Dual-Granularity Data Synthesis for LLM UnlearningFindings of the Association for Computational LinguisticsXiaoyu Xu, Minxin Du, Zitong LI, et al.2026
18. LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Binchi Zhang, Zhengzhang Chen, Zaiyi Zheng, et al.2026

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