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Who cites Zico Kolter

1,787 citations of their works from 1,599 papers of our library (of the 149,439 whose bibliographies we read) · 428 with a page here, the most cited first · page 5 of 5 · 401–428 · ← Zico Kolter

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  1. SHARP: Self-adaptive Harmful Category-aware Prompt Generation for Black-box JailbreakingAnnual Meeting of the Association for Computational Linguistics (ACL)Yingjie Xue, Xingyou Xia, Jun Zhang, et al.2026
  2. Signals Are Not States: Neuro-Symbolic Safeguards for Culturally Aware Classroom AIWorkshop on Stereotypes Across Cultures in Language TechnologiesBagheri Nezhad, Sina2026
  3. Silencing the Guardrails: Inference-Time Jailbreaking via Dynamic Contextual Representation AblationFindings of the Association for Computational LinguisticsWenpeng Xing, Moran Fang, Guangtai Wang, et al.2026
  4. Simple Role Assignment is Extraordinarily Effective for Safety AlignmentFindings of the Association for Computational LinguisticsZhou Ziheng, Jiakun Ding, Zhaowei Zhang, et al.2026
  5. SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured ReasoningFindings of the Association for Computational LinguisticsKaiwen Zhou, Ahmed Elgohary, A S M Iftekhar, et al.2026
  6. StealthGraph: Exposing Domain-Specific Risks in LLMs through Knowledge-Graph-Guided Harmful Prompt GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Huawei Zheng, Xinqi Jiang, Sen Yang, et al.2026
  7. Stop Fixating on Prompts: Reasoning Hijacking and Constraint Tightening for Red-Teaming LLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanxu Mao, Peipei Liu, Tiehan Cui, et al.2026
  8. StructBreak: Structural Cognitive Overload-Induced Safety Failures in MLLMsFindings of the Association for Computational LinguisticsYang Luo, Liu Xinran, TianTian Ji, et al.2026
  9. Targeted Exploration via Unified Entropy Control for Reinforcement LearningFindings of the Association for Computational LinguisticsChen Wang, Lai Wei, Yanzhi Zhang, et al.2026
  10. The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-TrainingFindings of the Association for Computational LinguisticsRui Zhang, Hongwei Li, Yun Shen, et al.2026
  11. The Challenge of Identifying the Origin of Black-Box Large Language ModelsWorkshop on Privacy in Natural Language ProcessingZiqing Yang, Yixin Wu, Yun Shen, et al.2026
  12. The Geometry of Refusal: Linear Instability in Safety-Aligned LLMsWorkshop on Trustworthy NLPShivam Ratnakar, Kartikeya Vats2026
  13. The Impact of Off-Policy Training Data on Probe GeneralisationFindings of the Association for Computational LinguisticsAdrians Skapars, Nathalie Maria Kirch, Samuel Dower, et al.2026
  14. Thinking Twice Makes Large Language Models Safer and More HelpfulFindings of the Association for Computational LinguisticsYutao Mou, Yuxiao Luo, Shikun Zhang, et al.2026
  15. TokenPenalty: Alleviating Attention Sinks and Positional Decay in LVLMsFindings of the Association for Computational LinguisticsXiaofeng Zhang, Yuanchao Zhu, Qiyan Zhao, et al.2026
  16. Towards Reliable AI Fairness: Challenges in Steering Features within Bias-Implicated NeuronsLanguage Resources and Evaluation Conference (LREC)Ismael Garrido-Munoz, Arturo Montejo-Raez, Fernando Martínez-Santiago2026
  17. Towards Understanding the Robustness of Sparse AutoencodersFindings of the Association for Computational LinguisticsAhson Saiyed, Sabrina Sadiekh, Chirag Agarwal2026
  18. TrajGuard: Streaming Hidden-state Trajectory Detection for Decoding-time Jailbreak DefenseFindings of the Association for Computational LinguisticsCheng Liu, Xiaolei Liu, Xingyu Li, et al.2026
  19. TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Zhewen Tan, Wenhan Yu, Jianfeng Si, et al.2026
  20. Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical FallaciesAnnual Meeting of the Association for Computational Linguistics (ACL)Xudong Shen, li Yuan, Ye Chen, et al.2026
  21. TryggLLM: A Benchmark for Evaluating LLM Safety in NorwegianLanguage Resources and Evaluation Conference (LREC)Samia Touileb, Truls Pedersen, Isabell Stinessen Haugen2026
  22. Uncovering Strategic Egoism Behaviors in Large Language ModelsFindings of the Association for Computational LinguisticsYaoyuan Zhang, Zonghao Ying, Aishan Liu, et al.2026
  23. Understanding Conflicts in Multi-Objective Alignment through Reward ConsistencyFindings of the Association for Computational LinguisticsZhihao Xu, Yongqi Tong, Xin Zhang, et al.2026
  24. When AI Reviews Train AI Reviewers: Scientific-Judgment Collapse and MitigationarXiv:2609.20942Sy-Tuyen Ho, Minghui Liu, Furong Huang2026
  25. When Correct Beliefs Collapse: Epistemic Resilience of LLMs under Clinical PressureAnnual Meeting of the Association for Computational Linguistics (ACL)Boyu Xiao, Xiuqi Tian, Xuwen Song, et al.2026
  26. When Efficiency Meets Safety: A Benchmark Security Analysis of KV Cache Compression in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoxiao Ma, Kuofeng Gao, Zeyi Lu, et al.2026
  27. When Prompt Optimization Becomes Jailbreaking: Adaptive Red-Teaming of Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zafir Shamsi, Nikhil Chekuru, Zachary Guzman, et al.2026
  28. You Only Need One Single Token to Refine Safety AlignmentFindings of the Association for Computational LinguisticsWenqian Yu, Shuo Chen, Zhijiang Li, et al.2026

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