🧑‍🔬 Who cites Sijia Liu

127 citations of their works from 107 papers of our library (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · ← Sijia Liu

1. Negative Preference Optimization: From Catastrophic Collapse to Effective UnlearningarXiv:2404.05868Ruiqi Zhang, Licong Lin, Yu Bai, et al.2024 · 126 citations
2. 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
3. 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
4. Measuring Chain of Thought Faithfulness by Unlearning Reasoning StepsConference on Empirical Methods in Natural Language Processing (EMNLP)Martin Tutek, Fateme Hashemi Chaleshtori, Ana Marasovic, et al.2025 · 15 citations
5. Learning to Refuse: Towards Mitigating Privacy Risks in LLMsInternational Conference on Computational Linguistics (COLING)Zhenhua Liu, Tong Zhu, Chuanyuan Tan, et al.2025 · 13 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. 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
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. OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior SimulationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyi Wang, Yuxuan Lu, Wenbo Li, et al.2026 · 8 citations
10. 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
11. FAME: Fictional Actors for Multilingual ErasureLanguage Resources and Evaluation Conference (LREC)Claudio Savelli, Moreno La Quatra, Alkis Koudounas, et al.2026 · 7 citations
12. SVELA at EVALITA 2026: Overview of the Selective Verification of Erasure from LLM Answers TaskEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopClaudio Savelli, Moreno La Quatra, Alkis Koudounas, et al.2026 · 6 citations
13. Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Hsiung, Tianyu Pang, Yung-Chen Tang, et al.2026 · 4 citations
14. Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM UnlearningAnnual Meeting of the Association for Computational Linguistics (ACL)Naixin Zhai, Pengyang Shao, Binbin Zheng, et al.2026 · 2 citations
15. 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
16. 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
17. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
18. Hey, That's My Data! Token-Only Dataset Inference in Large Language ModelsFindings of the Association for Computational LinguisticsChen Xiong, Zihao Wang, Rui Zhu, et al.2026 · 1 citation
19. LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxuan Lu, Bingsheng Yao, Shao Zhang, 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

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