🧑‍🔬 Who cites Jianfeng Chi

397 citations of their works from 385 papers of our library (of the 149,439 whose bibliographies we read) · 99 with a page here, the most cited first · ← Jianfeng Chi

1. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
2. Jailbreaking Black Box Large Language Models in Twenty QueriesarXiv:2310.08419Patrick Chao, Alexander Robey, Edgar Dobriban, et al.2023 · 553 citations
3. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
4. A Dataset of Information-Seeking Questions and Answers Anchored in Research PapersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Pradeep Dasigi, Kyle Lo, Iz Beltagy, et al.2021 · 384 citations
5. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalarXiv:2402.04249Mantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 330 citations
6. "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language ModelsarXiv:2308.03825Xinyue Shen, Zeyuan Chen, Michael Backes, et al.2023 · 329 citations
7. 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
8. Tree of Attacks: Jailbreaking Black-Box LLMs AutomaticallyConference on Neural Information Processing Systems (NeurIPS)Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, et al.2023 · 251 citations
9. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
10. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
11. WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsConference on Neural Information Processing Systems (NeurIPS)Seungju Han, Kavel Rao, Allyson Ettinger, et al.2024 · 165 citations
12. SmoothLLM: Defending Large Language Models Against Jailbreaking AttacksarXiv:2310.03684Alexander Robey, Eric Wong, Hamed Hassani, et al.2023 · 164 citations
13. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
14. DeepInception: Hypnotize Large Language Model to Be JailbreakerarXiv:2311.03191Xuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 141 citations
15. SafetyBench: Evaluating the Safety of Large Language ModelsarXiv:2309.07045Zhexin Zhang, Leqi Lei, Lindong Wu, et al.2023 · 140 citations
16. The WMDP Benchmark: Measuring and Reducing Malicious Use With UnlearningarXiv:2403.03218Nathaniel Li, Alexander Pan, Anjali Gopal, et al.2024 · 127 citations
17. 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
18. Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive AttacksarXiv:2404.02151Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion2024 · 118 citations
19. MapCoder: Multi-Agent Code Generation for Competitive Problem SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez2024 · 118 citations
20. Nemotron-4 340B Technical ReportarXiv:2406.11704Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 107 citations
21. R-Judge: Benchmarking Safety Risk Awareness for LLM AgentsFindings of the Association for Computational LinguisticsTongxin Yuan, Zhiwei He, Lingzhong Dong, et al.2024 · 106 citations
22. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
23. Safety Alignment Should Be Made More Than Just a Few Tokens DeeparXiv:2406.05946Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, et al.2024 · 97 citations
24. WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language ModelsConference on Neural Information Processing Systems (NeurIPS)Liwei Jiang, Kavel Rao, Seungju Han, et al.2024 · 92 citations
25. PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human PreferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaming Ji, Donghai Hong, Borong Zhang, et al.2025 · 83 citations
26. Improving Alignment and Robustness with Circuit BreakersConference on Neural Information Processing Systems (NeurIPS)Andy Zou, Long Phan, Justin Wang, et al.2024 · 83 citations
27. MART: Improving LLM Safety with Multi-round Automatic Red-TeamingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Suyu Ge, Chunting Zhou, Rui Hou, et al.2024 · 82 citations
28. OR-Bench: An Over-Refusal Benchmark for Large Language ModelsarXiv:2405.20947Justin Cui, Wei-Lin Chiang, Ion Stoica, et al.2024 · 76 citations
29. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 68 citations
30. 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
31. Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language ModelsarXiv:2402.02207Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, et al.2024 · 60 citations
32. AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM GuardrailsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Shaona Ghosh, Prasoon Varshney, Makesh Narsimhan Sreedhar, et al.2025 · 53 citations
33. XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.2024 · 51 citations
34. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
35. Qwen3Guard Technical ReportarXiv:2510.14276Haiquan Zhao, Chenhan Yuan, Fei Huang, et al.2025 · 33 citations
36. Unveiling Privacy Risks in LLM Agent MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Bo Wang, Weiyi He, Shenglai Zeng, et al.2025 · 33 citations
37. 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
38. G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Shilong Wang, Guibin Zhang, Miao Yu, et al.2025 · 30 citations
39. RMB: Comprehensively Benchmarking Reward Models in LLM AlignmentarXiv:2410.09893Enyu Zhou, Guodong Zheng, Binghai Wang, et al.2024 · 30 citations
40. 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
41. 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
42. 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
43. 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
44. Refuse Whenever You Feel Unsafe: Improving Safety in LLMs via Decoupled Refusal TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, et al.2025 · 19 citations
45. 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
46. Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Sarah Ball, Frauke Kreuter, Nina Panickssery2026 · 17 citations
47. PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for FreeAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Li, Xiaogeng Liu, Ning Zhang, et al.2025 · 16 citations
48. Can LLMs Augment Low-Resource Reading Comprehension Datasets? Opportunities and ChallengesarXiv:2309.12426Vinay Samuel, Houda Aynaou, Arijit Ghosh Chowdhury, et al.2023 · 16 citations
49. MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teamingAnnual Meeting of the Association for Computational Linguistics (ACL)Weiyang Guo, Jing Li, Wenya Wang, et al.2025 · 14 citations
50. Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User PersonasAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Vishakh Padmakumar, Fumeng Yang, et al.2025 · 12 citations
51. PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in EnglishAnnual Meeting of the Association for Computational Linguistics (ACL)Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, et al.2023 · 12 citations
52. Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and AlignmentarXiv:2501.13080Melissa Kazemi Rad, Huy Nghiem, Andy Luo, et al.2025 · 9 citations
53. VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Bingrui Sima, Linhua Cong, Wenxuan Wang, et al.2025 · 9 citations
54. AraSafe: Benchmarking Safety in Arabic LLMsFindings of the Association for Computational LinguisticsHamdy Mubarak, Abubakr Mohamed, Majd Hawasly2025 · 6 citations
55. 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
56. 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
57. 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
58. 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
59. Beyond English and Evasion: A Human-Annotated Multi-Domain Benchmark for High-Stakes LLM Safety Evaluation in ChineseWorkshop on the Role of Resources in the Age of Large Language ModelsWajdi Zaghouani, Kholoud Khalil Aldous, Yicheng Gao2026 · 2 citations
60. KZ-SafetyPrompts: A Kazakh Safety Evaluation Prompt Dataset for Large Language ModelsSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesWajdi Zaghouani, Shimaa Amer Ibrahim, Aruzhan Muratbek, et al.2026 · 2 citations
61. Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Christos Ziakas, Nicholas Loo, Nishita Jain, et al.2026 · 2 citations
62. RedCoder: Automated Multi-Turn Red Teaming for Code LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenjie Jacky Mo, Qin Liu, Xiaofei Wen, et al.2026 · 2 citations
63. Activation-Guided Local Editing for Jailbreaking AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Jiecong Wang, Haoran Li, Hao Peng, et al.2026 · 1 citation
64. Adversarial Decoding: Generating Readable Documents for Adversarial ObjectivesFindings of the Association for Computational LinguisticsCollin Zhang, Tingwei Zhang, Vitaly Shmatikov2026 · 1 citation
65. AlbanianLLMSafety: A Safety Evaluation Dataset for Large Language Models in AlbanianSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesWajdi Zaghouani, Kholoud Khalil Aldous, Isra Fejzullaj2026 · 1 citation
66. ArabicDialectSafety: A Dialect-Aware Benchmark for Arabic Content Safety ClassificationarXiv:2608.01291 · EMNLP 2026 FindingsWajdi Zaghouani, Md. Rafiul Biswas, Kholoud Khalil Aldous, et al.2026 · 1 citation
67. Be Your Own Red Teamer: Safety Alignment via Self-Play and Reflective Experience ReplayFindings of the Association for Computational LinguisticsHao Wang, Yanting Wang, Hao Li, et al.2026 · 1 citation
68. BitBypass: A New Direction in Jailbreaking Aligned Large Language Models with Bitstream CamouflageFindings of the Association for Computational LinguisticsKalyan Nakka, Nitesh Saxena2026 · 1 citation
69. PARASITE: Conditional System Prompt Poisoning to Hijack LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Viet Pham, Thai Le2026 · 1 citation
70. Reasoning Up the Instruction Ladder for Controllable Language ModelsFindings of the Association for Computational LinguisticsZishuo Zheng, Vidhisha Balachandran, Chan Young Park, et al.2026 · 1 citation
71. A BERTology View of LLM Orchestrations: Token- and Layer-Selective Probes for Efficient Single-Pass ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Gonzalo Ariel Meyoyan, Luciano Del Corro2026
72. Adaptive Instruction Composition for Automated LLM Red-TeamingAnnual Meeting of the Association for Computational Linguistics (ACL)Jesse Zymet, Andy Luo, Swapnil Shinde, et al.2026
73. AnswerCarefully: Creating a Dataset for LLM Safety in JapaneseLanguage Resources and Evaluation Conference (LREC)Hisami Suzuki, Satoru Katsumata, Takashi Kodama, et al.2026
74. APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and InterpretationAnnual Meeting of the Association for Computational Linguistics (ACL)Pengyun Zhu, Qiheng Sun, Long Wen, et al.2026
75. Balancing Classification and Calibration Performance in Decision-Making LLMs via Calibration Aware Reinforcement LearningFindings of the Association for Computational LinguisticsDuygu Nur Yaldiz, Evangelia Spiliopoulou, Zheng Qi, et al.2026
76. CARO: Chain-of-Analogy Reasoning Optimization for Robust Content ModerationFindings of the Association for Computational LinguisticsBingzhe Wu, Haotian Lu, Yuchen Mou2026
77. CHAIRO: Contextual Hierarchical Analogical Induction and Reasoning Optimization for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Haotian Lu, Yuchen Mou, Bingzhe Wu2026
78. CodeGuard: Improving LLM Guardrails in CS EducationFindings of the Association for Computational LinguisticsNishat Raihan, Noah Erdachew, Jayoti Devi, et al.2026
79. Cognitive Analysis Graph-Guided Multi-Turn Safety Enhancement for Large Language ModelsFindings of the Association for Computational LinguisticsLanxue Zhang, Yuqiang Xie, Fang Fang, et al.2026
80. CrossGuard: Safeguarding MLLMs against Joint-Modal Implicit Malicious AttacksAnnual Meeting of the Association for Computational Linguistics (ACL)Xu Zhang, Hao Li, Zhichao Lu2026
81. CURUPIRA: Clever guard for harm and linguistic prompt mitigation in Brazilian PortugueseInternational Conference on Computational Processing of PortugueseRogério Sousa, William Alberto Cruz-Castañeda, José Roberto Homeli Silva, et al.2026
82. Detecting What Queries Seek: Steering LLM Safety with FFN Output Activation MonitoringAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaohao Luo, Ying Wei, Rui Zhao2026
83. Detection of Adversarial Prompts with Model Predictive EntropyFindings of the Association for Computational LinguisticsFranziska Rubenbauer, Sebastian Steindl, Patrick Levi, et al.2026
84. Enhancing the Transferability of Jailbreak Attacks on Large Language Models via Exploiting Reparameterization InvarianceAnnual Meeting of the Association for Computational Linguistics (ACL)Ao Wang, Xinghao Yang, Yongshun Gong, et al.2026
85. Evaluating LLMs for Detecting Demographic-Targeted Social Bias: A Comprehensive Benchmark StudyWorkshop of Identity Aware AIAyan Majumdar, Feihao Chen, Jinghui Li, et al.2026
86. FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained EvaluationFindings of the Association for Computational LinguisticsJuhyun Oh, Nayeon Lee, Chani Jung, et al.2026
87. HatePrototypes: Interpretable and Transferable Representations for Implicit and Explicit Hate Speech DetectionLanguage Resources and Evaluation Conference (LREC)Irina Proskurina, Marc-Antoine Carpentier, Julien Velcin2026
88. 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
89. MADRA: Multi-Agent Debate for Risk-Aware Embodied PlanningFindings of the Association for Computational LinguisticsJunJian Wang, Lidan Zhao, Xi Sheryl Zhang2026
90. RAP-ID: Mechanistic Prompt Injection Detection via Impostor Behavior AnalysisFindings of the Association for Computational LinguisticsYuchen Yang, Lei Peng, Yujie He, et al.2026
91. RST-Guarder: Enhancing Long-Context Robustness for Safeguards via RST Parsing and Probabilistic InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Xu Zhang, Xiaojun Wan2026
92. SafeMCP: Proactive Power Regulation for LLM Agent Defense via Environment-Grounded Look-Ahead ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Lichao Wang, ZhaoXing Ren, Tianzhuo Yang, et al.2026
93. SafetyMem: Adaptive Jailbreak Defense via Dual-Component Safety MemoryAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Ziyi Ni, Huacan Wang, et al.2026
94. SEA-Guard: Culturally Grounded Multilingual Safeguard for Southeast AsiaFindings of the Association for Computational LinguisticsPanuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji, et al.2026
95. SEA-SafeguardBench: Culturally Grounded Safety Benchmark for Southeast Asian LanguagesFindings of the Association for Computational LinguisticsPanuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji, et al.2026
96. 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
97. Thinking Twice Makes Large Language Models Safer and More HelpfulFindings of the Association for Computational LinguisticsYutao Mou, Yuxiao Luo, Shikun Zhang, et al.2026
98. 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
99. Understanding Emergent Misalignment via Feature Superposition GeometryAnnual Meeting of the Association for Computational Linguistics (ACL)Gouki Minegishi, Hiroki Furuta, Takeshi Kojima, et al.2026

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