🧑‍🔬 Who cites Weixin Chen

174 citations of their works from 174 papers of our library (of the 149,439 whose bibliographies we read) · 35 with a page here, the most cited first · ← Weixin Chen

1. Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,974 citations
2. A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,648 citations
3. "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
4. MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 320 citations
5. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsarXiv:2306.04528Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 305 citations
6. 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
7. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
8. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentarXiv:2308.05374Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 223 citations
9. GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak PromptsarXiv:2309.10253Jiahao Yu, Xingwei Lin, Zheng Yu, et al.2023 · 169 citations
10. Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction StrategiesTransactions of the Association for Computational Linguistics (TACL)Liangming Pan, Michael Saxon, Wenda Xu, et al.2024 · 140 citations
11. 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
12. Detoxifying Large Language Models via Knowledge EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Mengru Wang, Ningyu Zhang, Ziwen Xu, et al.2024 · 84 citations
13. ArtPrompt: ASCII Art-based Jailbreak Attacks against Aligned LLMsarXiv:2402.11753Fengqing Jiang, Zhangchen Xu, Luyao Niu, et al.2024 · 83 citations
14. 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
15. On Memorization of Large Language Models in Logical ReasoningInternational Joint Conference on Natural Language Processing (IJCNLP)Chulin Xie, Yangsibo Huang, Chiyuan Zhang, et al.2025 · 45 citations
16. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
17. 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
18. 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
19. John vs. Ahmed: Debate-Induced Bias in Multilingual LLMsArabic Natural Language Processing Conference (ArabicNLP)Anastasiia Demidova, Hanin Atwany, Nour Rabih, et al.2024 · 14 citations
20. Phi-3 Safety Post-Training: Aligning Language Models with a "Break-Fix" CyclearXiv:2407.13833Emman Haider, Daniel Perez-Becker, Thomas Portet, et al.2024 · 13 citations
21. Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of RaceAnnual Meeting of the Association for Computational Linguistics (ACL)Lihao Sun, Chengzhi Mao, Valentin Hofmann, et al.2025 · 10 citations
22. Stepwise Reasoning Disruption Attack of LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jingyu Peng, Maolin Wang, Xiangyu Zhao, et al.2025 · 10 citations
23. 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
24. How Quantization Shapes Bias in Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Federico Marcuzzi, Xuefei Ning, Roy Schwartz, et al.2026 · 3 citations
25. 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
26. AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language ModelsFindings of the Association for Computational LinguisticsYixu Wang, Xin Wang, Yang Yao, et al.2026 · 1 citation
27. BitBypass: A New Direction in Jailbreaking Aligned Large Language Models with Bitstream CamouflageFindings of the Association for Computational LinguisticsKalyan Nakka, Nitesh Saxena2026 · 1 citation
28. AnswerCarefully: Creating a Dataset for LLM Safety in JapaneseLanguage Resources and Evaluation Conference (LREC)Hisami Suzuki, Satoru Katsumata, Takashi Kodama, et al.2026
29. Authorization-First Retrieval: Enforcing Least Privilege in Multi-Agent RAG SystemsWorkshop on Trustworthy NLPRohith Namboothiri2026
30. Evaluating LLMs for Detecting Demographic-Targeted Social Bias: A Comprehensive Benchmark StudyWorkshop of Identity Aware AIAyan Majumdar, Feihao Chen, Jinghui Li, et al.2026
31. Generalizing Trust: Weak-to-Strong Trustworthiness in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lillian Sun, Martin Pawelczyk, Zhenting Qi, et al.2026
32. Mind the Language Gap: Assessing LLM Safety in ItalianLanguage Resources and Evaluation Conference (LREC)Elena Marafatto, Roberto Navigli2026
33. PII Jailbreaking in LLMs via Activation Steering Reveals Personal Information LeakageWorkshop on Trustworthy NLPKrishna Kanth Nakka, Xue Jiang, Dmitrii Usynin, et al.2026
34. Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data GenerationFindings of the Association for Computational LinguisticsQian Ma, Sarah Rajtmajer2026
35. Safeguarding LLM Fine-tuning via Push-Pull Distributional AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Haozhong Wang, Zhuo Li, Yibo Yang, et al.2026

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