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Who cites Tianqing Fang

178 citations of their works from 174 papers of our library (of the 149,439 whose bibliographies we read) · 47 with a page here, the most cited first · ← Tianqing Fang

  1. A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyarXiv:2312.02003Yifan Yao, Jinhao Duan, Kaidi Xu, et al.2023 · 1,186 citations
  2. Bias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,082 citations
  3. Toxicity in chatgpt: Analyzing persona-assigned language modelsFindings of the Association for Computational LinguisticsAmeet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, et al.2023 · 353 citations
  4. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  5. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
  6. Language Model Behavior: A Comprehensive SurveyComputational LinguisticsTyler A. Chang, Benjamin K. Bergen2024 · 148 citations
  7. Explore, Establish, Exploit: Red Teaming Language Models from ScratcharXiv:2306.09442Stephen Casper, Jason Lin, Joe Kwon, et al.2023 · 52 citations
  8. AlGhafa Evaluation Benchmark for Arabic Language ModelsArabic Natural Language Processing Conference (ArabicNLP)Ebtesam Almazrouei, Ruxandra Cojocaru, Michele Baldo, et al.2023 · 46 citations
  9. Through the Lens of Core Competency: Survey on Evaluation of Large Language ModelsarXiv:2308.07902Ziyu Zhuang, Qiguang Chen, Longxuan Ma, et al.2023 · 35 citations
  10. 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
  11. Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT ModelsarXiv:2306.16322Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al.2023 · 25 citations
  12. LLMs of Catan: Exploring Pragmatic Capabilities of Generative Chatbots Through Prediction and Classification of Dialogue Acts in Boardgames' Multi-party DialoguesProceedings of the 10th Workshop on Games and Natural Language Processing @ LREC-COLING 2024Andrea Martinenghi, Gregor Donabauer, Simona Amenta, et al.2024 · 4 citations
  13. Toxic language detection: a systematic review of Arabic datasetsarXiv:2312.07228Imene Bensalem, Paolo Rosso, Hanane Zitouni2023 · 4 citations
  14. Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMsWilliam Sheffield, Kanishka Misra, Valentina Pyatkin, et al.2025

127 more citing papers of our library have no page here yet.

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