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Who cites Chaowei Xiao

1,203 citations of their works from 1,147 papers of our library (of the 149,439 whose bibliographies we read) · 310 with a page here, the most cited first · page 2 of 4 · 101–200 · ← Chaowei Xiao

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  1. ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMsarXiv:2402.11753Fengqing Jiang, Zhangchen Xu, Luyao Niu, et al.2024 · 83 citations
  2. Improving Alignment and Robustness with Circuit BreakersConference on Neural Information Processing Systems (NeurIPS)Andy Zou, Long Phan, Justin Wang, et al.2024 · 83 citations
  3. AndroidWorld: A Dynamic Benchmarking Environment for Autonomous AgentsarXiv:2405.14573Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, et al.2024 · 82 citations
  4. You Only Look at Screens: Multimodal Chain-of-Action AgentsFindings of the Association for Computational LinguisticsZhuosheng Zhang, Aston Zhang2024 · 81 citations
  5. MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to UsearXiv:2310.03128Yue Huang, Jiawen Shi, Yuan Li, et al.2023 · 81 citations
  6. LEGO-Prover: Neural Theorem Proving with Growing LibrariesarXiv:2310.00656Haiming Wang, Huajian Xin, Chuanyang Zheng, et al.2023 · 79 citations
  7. Factuality of Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, et al.2024 · 77 citations
  8. OR-Bench: An Over-Refusal Benchmark for Large Language ModelsarXiv:2405.20947Justin Cui, Wei-Lin Chiang, Ion Stoica, et al.2024 · 76 citations
  9. Self-Reflection in LLM Agents: Effects on Problem-Solving PerformancearXiv:2405.06682 · 2nd International Conference on Foundation and Large Language Models (FLLM 2024), pp. 476-483Matthew Renze, Erhan Guven2024 · 76 citations
  10. Recursive Introspection: Teaching Language Model Agents How to Self-ImproveConference on Neural Information Processing Systems (NeurIPS)Yuxiao Qu, Tianjun Zhang, Naman Garg, et al.2024 · 75 citations
  11. MANTIS: Interleaved Multi-Image Instruction TuningTransactions on Machine Learning ResearchDongfu Jiang, Xuan He, Huaye Zeng, et al.2024 · 74 citations
  12. Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak AttackarXiv:2404.01833Mark Russinovich, Ahmed Salem, Ronen Eldan2024 · 71 citations
  13. Group-in-Group Policy Optimization for LLM Agent TrainingConference on Neural Information Processing Systems (NeurIPS)Lang Feng, Zhenghai Xue, Tingcong Liu, et al.2025 · 69 citations
  14. Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank ModificationsarXiv:2402.05162Boyi Wei, Kaixuan Huang, Yangsibo Huang, et al.2024 · 66 citations
  15. JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak AttacksarXiv:2404.03027Weidi Luo, Siyuan Ma, Xiaogeng Liu, et al.2024 · 66 citations
  16. ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidenceConference on Neural Information Processing Systems (NeurIPS)Kevin Wu, Eric Wu, James Zou2024 · 65 citations
  17. Small LLMs Are Weak Tool Learners: A Multi-LLM AgentConference on Empirical Methods in Natural Language Processing (EMNLP)Weizhou Shen, Chenliang Li, Hongzhan Chen, et al.2024 · 65 citations
  18. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
  19. Evaluation of OpenAI o1: Opportunities and Challenges of AGIarXiv:2409.18486Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.2024 · 64 citations
  20. Revolutionizing Finance with LLMs: An Overview of Applications and InsightsarXiv:2401.11641Huaqin Zhao, Zhengliang Liu, Zihao Wu, et al.2024 · 63 citations
  21. OpenAgents: An Open Platform for Language Agents in the WildarXiv:2310.10634Tianbao Xie, Fan Zhou, Zhoujun Cheng, et al.2023 · 62 citations
  22. OS-Copilot: Towards Generalist Computer Agents with Self-ImprovementarXiv:2402.07456Zhiyong Wu, Chengcheng Han, Zichen Ding, et al.2024 · 61 citations
  23. MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language BenchmarkarXiv:2402.04788Dongping Chen, Ruoxi Chen, Shilin Zhang, et al.2024 · 60 citations
  24. Investigating the Catastrophic Forgetting in Multimodal Large Language ModelsarXiv:2309.10313Yuexiang Zhai, Shengbang Tong, Xiao Li, et al.2023 · 59 citations
  25. The Art of Saying No: Contextual Noncompliance in Language ModelsConference on Neural Information Processing Systems (NeurIPS)Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, et al.2024 · 56 citations
  26. Hello Again! LLM-powered Personalized Agent for Long-term DialogueConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hao Li, Chenghao Yang, An Zhang, et al.2025 · 55 citations
  27. PlanGenLLMs: A Modern Survey of LLM Planning CapabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Wei, Zihao Zhang, Shenghua He, et al.2025 · 55 citations
  28. Agent-Pro: Learning to Evolve via Policy-Level Reflection and OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Ke Tang, Hai Wu, et al.2024 · 52 citations
  29. mDPO: Conditional Preference Optimization for Multimodal Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fei Wang, Wenxuan Zhou, James Y. Huang, et al.2024 · 50 citations
  30. NormAd: A Framework for Measuring the Cultural Adaptability of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Abhinav Rao, Akhila Yerukola, Vishwa Shah, et al.2025 · 46 citations
  31. 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
  32. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
  33. MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at ScaleAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Guo, Tianyu Zheng, Yizhi Li, et al.2025 · 40 citations
  34. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning ModelarXiv:2508.14444NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar, et al.2025 · 39 citations
  35. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
  36. MasRouter: Learning to Route LLMs for Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanwei Yue, Guibin Zhang, Boyang Liu, et al.2025 · 35 citations
  37. CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and GeneralizationarXiv:2310.10134Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter Jansen, et al.2023 · 34 citations
  38. SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Model SafetyarXiv:2404.05399Paul Rottger, Fabio Pernisi, Bertie Vidgen, et al.2024 · 33 citations
  39. Attacking Vision-Language Computer Agents via Pop-upsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanzhe Zhang, Tao Yu, Diyi Yang2025 · 32 citations
  40. VLSBench: Unveiling Visual Leakage in Multimodal SafetyAnnual Meeting of the Association for Computational Linguistics (ACL)Xuhao Hu, Dongrui Liu, Hao Li, et al.2025 · 32 citations
  41. Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction AmplificationConference on Empirical Methods in Natural Language Processing (EMNLP)Boyang Zhang, Yicong Tan, Yun Shen, et al.2025 · 29 citations
  42. Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red TeamingarXiv:2501.18837Mrinank Sharma, Meg Tong, Jesse Mu, et al.2025 · 29 citations
  43. Can Language Models Solve Olympiad Programming?arXiv:2404.10952Quan Shi, Michael Tang, Karthik Narasimhan, et al.2024 · 28 citations
  44. Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic ReasoningarXiv:2512.20848NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant, et al.2025 · 27 citations
  45. Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Haneul Yoo, Yongjin Yang, Hwaran Lee2025 · 26 citations
  46. UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement LearningarXiv:2509.02544Haoming Wang, Haoyang Zou, Huatong Song, et al.2025 · 26 citations
  47. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
  48. CAMEL-Bench: A Comprehensive Arabic LMM BenchmarkFindings of the Association for Computational LinguisticsSara Ghaboura, Ahmed Heakl, Omkar Thawakar, et al.2025 · 22 citations
  49. Intention Analysis Makes LLMs A Good Jailbreak DefenderInternational Conference on Computational Linguistics (COLING)Yuqi Zhang, Liang Ding, Lefei Zhang, et al.2025 · 21 citations
  50. 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
  51. AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Weidi Luo, Shenghong Dai, Xiaogeng Liu, et al.2025 · 20 citations
  52. Jailbreak Large Vision-Language Models Through Multi-Modal LinkageAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Wang, Xiaofei Zhou, Yichen Wang, et al.2025 · 20 citations
  53. Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lang Gao, Jiahui Geng, Xiangliang Zhang, et al.2025 · 19 citations
  54. Quality-Diversity through AI FeedbackarXiv:2310.13032Herbie Bradley, Andrew Dai, Hannah Teufel, et al.2023 · 19 citations
  55. LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution ShiftsAnnual Meeting of the Association for Computational Linguistics (ACL)Qibing Ren, Hao Li, Dongrui Liu, et al.2025 · 18 citations
  56. OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser UseAnnual Meeting of the Association for Computational Linguistics (ACL)Xueyu Hu, Tao Xiong, Biao Yi, et al.2025 · 17 citations
  57. PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal ComplianceAnnual Meeting of the Association for Computational Linguistics (ACL)Haoran Li, Wenbin Hu, Huihao Jing, et al.2025 · 17 citations
  58. Revisiting Jailbreaking for Large Language Models: A Representation Engineering PerspectiveInternational Conference on Computational Linguistics (COLING)Tianlong Li, Zhenghua Wang, Wenhao Liu, et al.2025 · 17 citations
  59. DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphConference on Neural Information Processing Systems (NeurIPS)Zhehao Zhang, Jiaao Chen, Diyi Yang2024 · 17 citations
  60. Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy DistillationarXiv:2603.19220Zhuolin Yang, Zihan Liu, Yang Chen, et al.2026 · 16 citations
  61. ChemAgent: Self-updating Library in Large Language Models Improves Chemical ReasoningarXiv:2501.06590Xiangru Tang, Tianyu Hu, Muyang Ye, et al.2025 · 15 citations
  62. FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongzhan Lin, Yang Deng, Yuxuan Gu, et al.2025 · 15 citations
  63. HiddenDetect: Detecting Jailbreak Attacks against Multimodal Large Language Models via Monitoring Hidden StatesAnnual Meeting of the Association for Computational Linguistics (ACL)Yilei Jiang, Xinyan Gao, Tianshuo Peng, et al.2025 · 15 citations
  64. What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Li, Yanhong Li, Tianyi Zhou2025 · 15 citations
  65. Data-driven Discovery with Large Generative ModelsarXiv:2402.13610Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, et al.2024 · 15 citations
  66. When "Competency" in Reasoning Opens the Door to Vulnerability: Jailbreaking LLMs via Novel Complex CiphersarXiv:2402.10601Divij Handa, Zehua Zhang, Amir Saeidi, et al.2024 · 15 citations
  67. How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following BehaviorAnnual Meeting of the Association for Computational Linguistics (ACL)Zidi Xiong, Yuping Lin, Wenya Xie, et al.2026 · 13 citations
  68. Safety Alignment via Constrained Knowledge UnlearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zesheng Shi, Yucheng Zhou, Jing Li, et al.2025 · 13 citations
  69. VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual CuesAnnual Meeting of the Association for Computational Linguistics (ACL)Jianshu Zhang, Dongyu Yao, Renjie Pi, et al.2025 · 12 citations
  70. 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
  71. Multi-Attribute Steering of Language Models via Targeted InterventionAnnual Meeting of the Association for Computational Linguistics (ACL)Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, et al.2025 · 11 citations
  72. SaRO: Enhancing LLM Safety through Reasoning-based AlignmentarXiv:2504.09420Yutao Mou, Yuxiao Luo, Shikun Zhang, et al.2025 · 11 citations
  73. EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific DiscoveryarXiv:2603.08127Yougang Lyu, Xi Zhang, Xinhao Yi, et al.2026 · 10 citations
  74. 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
  75. Automated Progressive Red TeamingInternational Conference on Computational Linguistics (COLING)Bojian Jiang, Yi Jing, Tong Wu, et al.2025 · 10 citations
  76. Multiple LLM Agents Debate for Equitable Cultural AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Dayeon Ki, Rachel Rudinger, Tianyi Zhou, et al.2025 · 10 citations
  77. Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Weixiang Zhao, Yulin Hu, Yang Deng, et al.2025 · 9 citations
  78. Logic Jailbreak: Efficiently Unlocking LLM Safety Restrictions Through Formal Logical ExpressionFindings of the Association for Computational LinguisticsJingyu Peng, Maolin Wang, Nan Wang, et al.2026 · 8 citations
  79. ReCreate: Reasoning and Creating Domain Agents Driven by ExperienceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhezheng Hao, Hong Wang, Jian Luo, et al.2026 · 8 citations
  80. Reinforcement Learning for Self-Improving Agent with Skill LibraryAnnual Meeting of the Association for Computational Linguistics (ACL)Jiongxiao Wang, Qiaojing Yan, Yawei Wang, et al.2026 · 8 citations
  81. The Dark Side of Function Calling: Pathways to Jailbreaking Large Language ModelsInternational Conference on Computational Linguistics (COLING)Zihui Wu, Haichang Gao, Jianping He, et al.2025 · 8 citations
  82. Shared Imagination: LLMs Hallucinate AlikearXiv:2407.16604Yilun Zhou, Caiming Xiong, Silvio Savarese, et al.2024 · 7 citations
  83. CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving ChallengesFindings of the Association for Computational LinguisticsZihan Wang, Lam Nguyen, Zhengyang Zhao, et al.2026 · 6 citations
  84. From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Jiajun Zhang, Zeyu Cui, Jiaxi Yang, et al.2026 · 6 citations
  85. GAMBIT: A Gamified Jailbreak Framework for Multimodal Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangdong Hu, Yangyang Jiang, Qin Hu, et al.2026 · 6 citations
  86. AutoSOTA: An End-to-End Automated Research System for State-of-the-Art AI Model DiscoveryarXiv:2604.05550Yu Li, Chenyang Shao, Xinyang Liu, et al.2026 · 5 citations
  87. Embodied-Reasoner: Synergizing Visual Search, Reasoning, and Action for Embodied Interactive TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Mengna Wang, Gangao Liu, et al.2026 · 5 citations
  88. MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal InteractionarXiv:2604.27393Junbo Cui, Bokai Xu, Chongyi Wang, et al.2026 · 5 citations
  89. 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
  90. LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-DisjointAnnual Meeting of the Association for Computational Linguistics (ACL)Qianli Ma, Dongrui Liu, Qian Chen, et al.2025 · 5 citations
  91. Multilingual and Multilabel Emotion Recognition using Virtual Adversarial TrainingWorkshop on Multilingual Representation LearningVikram Gupta2021 · 5 citations
  92. 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
  93. GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, et al.2026 · 4 citations
  94. 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
  95. HAUNTATTACK: When Attack Follows Reasoning as a ShadowFindings of the Association for Computational LinguisticsJingyuan Ma, Rui Li, Zheng Li, et al.2026 · 3 citations
  96. Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race?Findings of the Association for Computational LinguisticsYuan Xin, Dingfan Chen, Linyi Yang, et al.2026 · 3 citations
  97. SafeMT: Multi-turn Safety for Multimodal Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Han Zhu, Juntao Dai, Jiaming Ji, et al.2026 · 3 citations
  98. ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and FeedbackFindings of the Association for Computational LinguisticsYutao Mou, Zhangchi Xue, Lijun Li, et al.2026 · 3 citations
  99. Universal Jailbreak Suffixes Are Strong Attention HijackersTransactions of the Association for Computational Linguistics (TACL)Matan Ben-Tov, Mor Geva, Mahmood Sharif2026 · 3 citations
  100. Unraveling LLM Jailbreaks Through Safety Knowledge NeuronsConference of the European Chapter of the Association for Computational Linguistics (EACL)Chongwen Zhao, Yutong Ke, Kaizhu Huang2026 · 3 citations

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