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Recently, large language models (LLMs) have emerged as a notable field, attracting significant attention for its ability to automatically generate intelligent contents for various application domains.
2004
Earlier work this paper cites.
I. Van Ooijen, H. U. Vrabec, Does the gdpr enhance consumers’ control over personal data? an analysis from a behavioural perspective, Journal of consumer policy 42 (2019) 91–107
2019
Earlier work this paper cites.
N. Peri, N. Gupta, W. R. Huang, L. Fowl, C. Zhu, S. Feizi, T. Goldstein, J. P. Dickerson, Deep k-nn defense against clean-label data poisoning attacks, in: Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part I 16, Springer, 2020, pp. 55–70
2020
Earlier work this paper cites.
B. Rose, The commodification of personal data and the road to consumer autonomy through the ccpa, Brook. J. Corp. Fin. & Com. L. 15 (2020) 521
2020
Earlier work this paper cites.
doi:10.1016/j.csi.2021.103612
J. Liu, Q. Zhang, K. Mo, X. Xiang, J. Li, D. Cheng, R. Gao, B. Liu, K. Chen, G. Wei, An efficient adversarial example generation algorithm based on an accelerated gradient iterative fast gradient , Comput. Stand. Interfaces 82 (2022) 103612 · 2021
Earlier work this paper cites.
OpenAssistant, Reward model deberta v3 large v2, https://huggingface.co/OpenAssistant/reward-model-deberta-v3-large-v2 , accessed: [2023] (2021)
2021
Earlier work this paper cites.
L. S. Madsen, F. Laudenbach, M. F. Askarani, F. Rortais, T. Vincent, J. F. Bulmer, F. M. Miatto, L. Neuhaus, L. G. Helt, M. J. Collins, et al., Quantum computational advantage with a programmable photonic processor, Nature 606 (7912) (2022) 75–81
2022
Earlier work this paper cites.
Y. Jernite, H. Nguyen, S. Biderman, A. Rogers, M. Masoud, V. Danchev, S. Tan, A. S. Luccioni, N. Subramani, I. Johnson, et al., Data governance in the age of large-scale data-driven language technology, in: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022, pp. 2206–2222
2022
Cited alongside, same era.
S. Siddiki, T. Heikkila, C. M. Weible, R. Pacheco-Vega, D. Carter, C. Curley, A. Deslatte, A. Bennett, Institutional analysis with the institutional grammar, Policy Studies Journal 50 (2) (2022) 315–339
2022
Cited alongside, same era.
Y. Wang, K. Chen, Y. Tan, S. Huang, W. Ma, Y. Li, Stealthy and flexible trojan in deep learning framework, IEEE Trans. Dependable Secur. Comput. 20 (3) (2023) 1789–1798
2023
Cited alongside, same era.
K. Chen, H. Zhang, X. Feng, X. Zhang, B. Mi, Z. Jin, Backdoor attacks against distributed swarm learning, ISA Transactions 141 (2023) 59–72
2023
Cited alongside, same era.
D. Zhou, W. Chen, K. Chen, B. Mi, Fast and accurate snn model strengthening for industrial applications, Electronics 12 (18) (2023) 1–12
2023
Later among the works it cites.
Y. Liu, T. Han, S. Ma, J. Zhang, Y. Yang, J. Tian, H. He, A. Li, M. He, Z. Liu, et al., Summary of chatgpt-related research and perspective towards the future of large language models, Meta-Radiology (2023) 100017
2023
Later among the works it cites.
Y. Zhang, K. Zhang, Z. Chen, Y. Li, R. Timofte, J. Zhang, K. Zhang, R. Peng, Y. Ma, L. Jia, et al., Ntire 2023 challenge on image super-resolution (x4): Methods and results, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023, pp. 1864–1883
2023
Later among the works it cites.
vectara, hallucination evaluation model, https://huggingface.co/vectara/hallucination_evaluation_model , accessed: [2023] (2023)
2023
Later among the works it cites.
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alphaXiv is searching for related work…
Y. Xiao, J. Zhou, K. Chen, Z. Liu, Revisiting the transferability of adversarial examples via source-agnostic adversarial feature inducing method, Pattern Recognition 144 (2023) 1–16
2023
Cited alongside, same era.
Y.-K. Zhang, D. Li, B. Zhang, S. Cao, Y. Feng, W.-Y. Wang, Y. Qu, J.-R. Niu, W.-W. Zhu, J.-L. Han, et al., Fast observations of frb 20220912a: burst properties and polarization characteristics, The Astrophysical Journal 955 (2) (2023) 142
2023
Cited alongside, same era.
A. S. George, S. Sagayarajan, T. Baskar, A. H. George, Extending detection and response: How mxdr evolves cybersecurity, Partners Universal International Innovation Journal 1 (4) (2023) 268–285
2023
Cited alongside, same era.
Cited in the paper.
Cited in the paper.
Cited in the paper.
P. P. Ray, Chatgpt: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope, Internet of Things and Cyber-Physical Systems
Cited in the paper.
Cited in the paper.
J. Li, X. Cheng, W. X. Zhao, J.-Y. Nie, J.-R. Wen, Halueval: A large-scale hallucination evaluation benchmark for large language models, in: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023, pp. 6449–6464
2023
Later among the works it cites.
Y. Li, H. Yan, T. Huang, Z. Pan, J. Lai, X. Zhang, K. Chen, J. Li, Model architecture level privacy leakage in neural networks, Science China Information Sciences 67 (3) (2024) 1–13
2024
Closest in time.
K. Chen, Y. Huang, Y. Wang, X. Zhang, B. Mi, Y. Wang, Privacy preserving machine unlearning for smart cities, Annals of Telecommunications 79 (1) (2024) 61–72
2024
Closest in time.