🧑‍🔬 Who cites Himabindu Lakkaraju

245 citations of their works from 240 papers of our library (of the 149,439 whose bibliographies we read) · 63 with a page here, the most cited first · ← Himabindu Lakkaraju

1. Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,974 citations
2. Aspect Level Sentiment Classification with Deep Memory NetworkConference on Empirical Methods in Natural Language Processing (EMNLP)Duyu Tang, Bing Qin, Ting Liu2016 · 1,197 citations
3. Can Large Language Models Transform Computational Social Science?Computational LinguisticsCaleb Ziems, William Held, Omar Shaikh, et al.2023 · 790 citations
4. Explainability for Large Language Models: A SurveyACM Transactions on Intelligent Systems and TechnologyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 790 citations
5. Relational Graph Attention Network for Aspect-based Sentiment AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL)Kai Wang, Weizhou Shen, Yunyi Yang, et al.2020 · 776 citations
6. Aspect Based Sentiment Analysis with Gated Convolutional NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Xue, Tao Li2018 · 731 citations
7. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
8. Recursive Neural Conditional Random Fields for Aspect-based Sentiment AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP)Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, et al.2016 · 516 citations
9. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
10. Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and PerspectivesHumanities and Social Sciences CommunicationsChen Gao, Xiaochong Lan, Nian Li, et al.2023 · 344 citations
11. JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Patrick Chao, Edoardo Debenedetti, Alexander Robey, et al.2024 · 277 citations
12. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
13. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
14. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
15. How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Zeng, Hongpeng Lin, Jingwen Zhang, et al.2024 · 203 citations
16. Large Language Model UnlearningConference on Neural Information Processing Systems (NeurIPS)Yuanshun Yao, Xiaojun Xu, Yang Liu2023 · 174 citations
17. SmoothLLM: Defending Large Language Models Against Jailbreaking AttacksarXiv:2310.03684Alexander Robey, Eric Wong, Hamed Hassani, et al.2023 · 164 citations
18. TOFU: A Task of Fictitious Unlearning for LLMsarXiv:2401.06121Pratyush Maini, Zhili Feng, Avi Schwarzschild, et al.2024 · 144 citations
19. Jailbreak and Guard Aligned Language Models with Only Few In-Context DemonstrationsarXiv:2310.06387Zeming Wei, Yifei Wang, Ang Li, et al.2023 · 130 citations
20. The WMDP Benchmark: Measuring and Reducing Malicious Use With UnlearningarXiv:2403.03218Nathaniel Li, Alexander Pan, Anjali Gopal, et al.2024 · 127 citations
21. Negative Preference Optimization: From Catastrophic Collapse to Effective UnlearningarXiv:2404.05868Ruiqi Zhang, Licong Lin, Yu Bai, et al.2024 · 126 citations
22. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
23. SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsFindings of the Association for Computational LinguisticsLijun Li, Bowen Dong, Ruohui Wang, et al.2024 · 119 citations
24. The Impact of Reasoning Step Length on Large Language ModelsFindings of the Association for Computational LinguisticsMingyu Jin, Qinkai Yu, Dong Shu, et al.2024 · 119 citations
25. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
26. Defending Against Alignment-Breaking Attacks via Robustly Aligned LLMAnnual Meeting of the Association for Computational Linguistics (ACL)Bochuan Cao, Yuanpu Cao, Lu Lin, et al.2024 · 109 citations
27. Can LLM-Generated Misinformation Be Detected?arXiv:2309.13788Canyu Chen, Kai Shu2023 · 108 citations
28. Personal LLM Agents: Insights and Survey about the Capability, Efficiency and SecurityarXiv:2401.05459Yuanchun Li, Hao Wen, Weijun Wang, et al.2024 · 100 citations
29. AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language ModelsarXiv:2310.15140Sicheng Zhu, Ruiyi Zhang, Bang An, et al.2023 · 90 citations
30. Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM AssessmentConference on Empirical Methods in Natural Language Processing (EMNLP)Vyas Raina, Adian Liusie, Mark Gales2024 · 86 citations
31. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
32. Rephrase and Respond: Let Large Language Models Ask Better Questions for ThemselvesarXiv:2311.04205Yihe Deng, Weitong Zhang, Zixiang Chen, et al.2023 · 62 citations
33. Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Sikuan Yan, Xiufeng Yang, Zuchao Huang, et al.2026 · 49 citations
34. 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
35. Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from JailbreakingConference on Empirical Methods in Natural Language Processing (EMNLP)Junda Zhu, Lingyong Yan, Shuaiqiang Wang, et al.2025 · 21 citations
36. MoRAL: MoE Augmented LoRA for LLMs' Lifelong LearningarXiv:2402.11260Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang2024 · 21 citations
37. 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
38. from Benign import Toxic: Jailbreaking the Language Model via Adversarial MetaphorsAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Yan, Sheng Sun, Zenghao Duan, et al.2025 · 12 citations
39. 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
40. Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive ScoringAnnual Meeting of the Association for Computational Linguistics (ACL)Peichun Hua, Hao Li, Shanghao Shi, et al.2026 · 10 citations
41. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations
42. 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
43. Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yi Yu, Liuyi Yao, Yuexiang Xie, et al.2026 · 6 citations
44. Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanchen Bei, Tianxin Wei, Xuying Ning, et al.2026 · 6 citations
45. Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and OpportunitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Changdae Oh, Seongheon Park, To Eun Kim, et al.2026 · 4 citations
46. From Storage to Experience: A Survey on the Evolution of LLM Agent Memory MechanismsFindings of the Association for Computational LinguisticsJinghao Luo, Yuchen Tian, Chuxue Cao, et al.2026 · 3 citations
47. Do LLMs Encode Functional Importance of Reasoning Tokens ?Annual Meeting of the Association for Computational Linguistics (ACL)Janvijay Singh, Dilek Hakkani-Tür2026 · 2 citations
48. 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
49. 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
50. How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and ActivationFindings of the Association for Computational LinguisticsHao Yang, Qinghua Zhao, Lei Li, et al.2026 · 1 citation
51. Revealing Procedural Reasoning Structures in Chain-of-Thought Training via Span-Level Gradient OrganizationAnnual Meeting of the Association for Computational Linguistics (ACL)Jia Liu, Jiaxin Luo, Weiwen Xu, et al.2026 · 1 citation
52. 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
53. Calibrating Inference Time Alignment with Sequence-level Risk AccumulationAnnual Meeting of the Association for Computational Linguistics (ACL)Shanwen Tan, Ziyang Dong, Wei Ju, et al.2026
54. 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
55. 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
56. CRPS: Curriculum Replay via Progressive Suffixes from Successful Trajectories for Long-Horizon LLM AgentsFindings of the Association for Computational LinguisticsZijing Zhang, Xiajie Yang2026
57. 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
58. Demystify the Role of Memory in Machine Learning Engineering AgentsFindings of the Association for Computational LinguisticsXinyu Zhao, Junpeng Wang, Yuzhong Chen, et al.2026
59. 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
60. Improving LLM Domain Certification with Pretrained Guide ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Jiaqian Zhang, Zhaozhi Qian, Faroq AL-Tam, et al.2026
61. LDEDE: LRP-Driven Efficient Detection and Editing Framework for LLM Privacy NeuronsFindings of the Association for Computational LinguisticsZhao Zhengyuan, Cao Lifeng, Sunhaodong, et al.2026
62. 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
63. Towards Understanding the Robustness of Sparse AutoencodersFindings of the Association for Computational LinguisticsAhson Saiyed, Sabrina Sadiekh, Chirag Agarwal2026

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