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Large Language Models (LLMs), such as ChatGPT and Bard, have revolutionized natural language understanding and generation.
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R. Staab, M. Vero, M. Balunović, and M. Vechev, “Beyond memorization: Violating privacy via inference with large language models,” 2023
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M. Sullivan, A. Kelly, and P. McLaughlan, “Chatgpt in higher education: Considerations for academic integrity and student learning,” 2023
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X. Sun, X. Li, Y. Meng, X. Ao, L. Lyu, J. Li, and T. Zhang, “Defending against backdoor attacks in natural language generation,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 37, no. 4, 2023, pp. 5257–5265
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W. Tann, Y. Liu, J. H. Sim, C. M. Seah, and E.-C. Chang, “Using large language models for cybersecurity capture-the-flag challenges and certification questions,” 2023
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P. Taveekitworachai, F. Abdullah, M. C. Gursesli, M. F. Dewantoro, S. Chen, A. Lanata, A. Guazzini, and R. Thawonmas, “Breaking bad: Unraveling influences and risks of user inputs to chatgpt for game story generation,” in International Conference on Interactive Digital Storytelling . Springer, 2023, pp. 285–296
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Z. Tay, “Using artificial intelligence to augment bug fuzzing,” 2023
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A. J. Thirunavukarasu, D. S. J. Ting, K. Elangovan, L. Gutierrez, T. F. Tan, and D. S. W. Ting, “Large language models in medicine,” Nature medicine , vol. 29, no. 8, pp. 1930–1940, 2023
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M. Tong, K. Chen, Y. Qi, J. Zhang, W. Zhang, and N. Yu, “Privinfer: Privacy-preserving inference for black-box large language model,” 2023
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A. Urman and M. Makhortykh, “The silence of the llms: Cross-lingual analysis of political bias and false information prevalence in chatgpt, google bard, and bing chat,” 2023
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J. Wang, X. Lu, Z. Zhao, Z. Dai, C.-S. Foo, S.-K. Ng, and B. K. H. Low, “Wasa: Watermark-based source attribution for large language model-generated data,” 2023
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Z. Wang, Z. Liu, X. Zheng, Q. Su, and J. Wang, “Rmlm: A flexible defense framework for proactively mitigating word-level adversarial attacks,” in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , 2023, pp. 2757–2774
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