Radford A, Wu J, Child R, Luan D, Amodei D, Sutskever I. Language models are unsupervised multitask learners. OpenAI Blog. 2019. [Online]. https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf.
Kulkarni P, Mahabaleshwarkar A, Kulkarni M, Sirsikar N, Gadgil K, Conversational AI: An overview of methodologies, applications & future scope. In: 2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA). IEEE; 2019. p. 1–7.
Fu T, Gao S, Zhao X, Wen J-R, Yan R. Learning towards conversational AI: A survey. AI Open. 2022;3:14–28.
Firat M. How chat GPT can transform autodidactic experiences and open education. Department of Distance Education: Open Education Faculty, Anadolu Unive; 2023.
M. Jadeja and N. Varia, Perspectives for evaluating conversational AI. arXiv:1709.04734 [Preprint]. 2017.
Ruane E, Birhane A, Ventresque A. Conversational AI: Social and ethical considerations. In: AICS. 2019. p. 104–15.
Gao J, Galley M, Li L. Neural approaches to conversational AI. In: The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval. 2018. p. 1371–4.
Richardson C, Heck L. Commonsense reasoning for conversational AI: A survey of the state of the art. arXiv:2302.07926 [Preprint]. 2023.
Adewumi T, Liwicki F, Liwicki M. State-of-the-art in open-domain conversational AI: A survey. Information. 2022;13(6):298.
Zong M, Krishnamachari B. A survey on GPT-3. arXiv:2212.00857 [Preprint]. 2022.
Yang Z, Gan Z, Wang J, Hu X, Lu Y, Liu Z, Wang L. An empirical study of GPT-3 for few-shot knowledge-based VQA. Proceedings of the AAAI Conference on Artificial Intelligence. 2022;36(3):3081–9.
Wang C, Li M, Smola AJ. Language models with transformers. arXiv:1904.09408 [Preprint]. 2019.
Peng B, Li C, He P, Galley M, Gao J. Instruction tuning with GPT-4. arXiv:2304.03277 [Preprint]. 2023.
Budzianowski P, Vulić I. Hello, it’s GPT-2-how can i help you? Towards the use of pretrained language models for task-oriented dialogue systems. arXiv:1907.05774 [Preprint]. 2019.
Bird JJ, Ekárt A, Faria DR. Chatbot interaction with artificial intelligence: human data augmentation with t5 and language transformer ensemble for text classification. J Ambient Intell Humaniz Comput. 2023;14(4):3129–44.
Klein T, Nabi M. Learning to answer by learning to ask: Getting the best of GPT-2 and Bert worlds. arXiv:1911.02365 [Preprint]. 2019.
Lee J-S, Hsiang J. Patent claim generation by fine-tuning OpenAI GPT-2. World Patent Inf. 2020;62:101983.
Henderson M, Casanueva I, Mrkšić N, Su P-H, Wen T-H, Vulić I. Convert: Efficient and accurate conversational representations from transformers. arXiv:1911.03688 [Preprint]. 2019.
Weizenbaum J. Eliza–a computer program for the study of natural language communication between man and machine. Commun ACM. 1966;9(1):36–45.
Winograd T. Procedures as a representation for data in a computer program for understanding natural language. Commun ACM. 1970;13(5):326–31.
Colby KM, Hilf FD. Parry, the paranoid computer program. In: Proceedings of the National Computer Conference. ACM; 1972. p. 355–9.
Wallace RS. The anatomy of Alice. In: Proceedings of the First International Conference on Autonomous Agents. ACM; 1995. p. 8–14.
Carpenter R. Jabberwacky-a case study of intractable ambiguity. In: Proceedings of the Third International Conference on Autonomous Agents. ACM; 1999. p. 124–30.
Carpenter R. Evaluation of Cleverbot. In: Proceedings of the Sixth International Conference on Self-adaptive and Self-organizing Systems. ACM; 2012. p. 331–8.
Ferrucci DA, Brown EW, Chu-Carroll J, Fan JW, Gondek D, Kalyanpur AA, Lally A, Murdock WW, Nyberg E, Prager JM et al. Building Watson: An overview of the DeepQA project. In: AI Magazine, vol 31, no 3. AAAI Press; 2010. p. 59–79.
Cheyer A, Hakkani-Tur D, Chen L, Gao Y, Deng L, He X, Heck L. Siri: an intelligent assistant for Iphone 4s. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing. 2012; p. 5661–4.
Ram A, Fischer A, Saha S, Choudhury R, Batra D, Foulds J, Hakkani-Tur D, Heck L, Hsu B, Khandelwal P et al. Alexa prize: socialbot grand challenge 3 finals. In: Proceedings of the International Conference on Acoustics, Speech and Signal Processing. 2018. p. 6294–8.
Bahl L, Ramabhadran B, Elhadad M, Hakkani-T"ur D, Heck L, Paritosh P, Picheny M, Potamianos A, Roukos S. Conversational understanding as an AI-hard problem: A progress report on the Richard-SimON project. In: Proceedings of the 14th Annual Meeting of the Special Interest Group on Discourse and Dialogue. ACL; 2013. p. 1–10.
Vinyals O, Babuschkin I, Czarnecki WM, Mathieu M, Dudzik A, Chung J, Choi J, Powell T, Ewalds T, Georgiev P, et al. Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nature. 2018;575(7782):350–4.
Radford A, Narasimhan K, Salimans T, Sutskever I. Improving language understanding by generative pre-training. OpenAI Technical Report. 2018. [Online]. Available: https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language-unsupervised/language_understanding_paper.pdf.
Ahmed M, Khan HU, Munir EU. Conversational AI: an explication of few-shot learning problem in transformers-based chatbot systems. IEEE Trans Comput Soc Syst. 2023.
Haroon S, Hafsath C, Jereesh A. GPT based model with relative attention for de novo drug design. Comput Biol Chem. 2023. p. 107911
Yetiştiren B, Özsoy I, Ayerdem M, Tüzün E. Evaluating the code quality of AI-assisted code generation tools: An empirical study on Github Copilot, Amazon CodeWhisperer, and ChatGPT. arXiv:2304.10778 [Preprint]. 2023.
Rahaman MS, Ahsan M, Anjum N, Rahman MM, Rahman MN. The AI race is on! Google’s Bard and OpenAI’s ChatGPT head to head: an opinion article. Md Nafizur, The AI Race is on: Mizanur and Rahman. 2023.
Crawford J, Cowling M, Ashton-Hay S, Kelder J-A, Middleton R, Wilson GS. Artificial intelligence and authorship editor policy: ChatGPT, Bard Bing AI, and beyond. J Univ Teach Learn Pract. 2023;20(5):1.
Murugesan S, Cherukuri AK. The rise of generative artificial intelligence and its impact on education: The promises and perils. Computer. 2023;56(5):116–21.
Haleem A, Javaid M, Singh RP. An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges. BenchCouncil Transactions on Benchmarks, Standards and Evaluations. 2022;2(4):100089.
Nie W, Bao Y, Zhao Y, Liu A. Long dialogue emotion detection based on commonsense knowledge graph guidance. IEEE Trans Multimedia. 2023.
Zhou X, Zhang L. SA-FPN: An effective feature pyramid network for crowded human detection. Appl Intell. 2022;52(11):12556–68.
Chen B, Hu J, Zhao Y, Ghosh BK. Finite-time velocity-free rendezvous control of multiple AUV systems with intermittent communication. IEEE Trans Syst Man Cybern Syst. 2022;52(10):6618–29.
Guo C, Hu J. Time base generator based practical predefined-time stabilization of high-order systems with unknown disturbance. IEEE Trans Circuits Syst Express Briefs. 2023.
Chen C-FR, Fan Q, Panda R. Crossvit: Cross-attention multi-scale vision transformer for image classification. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021. p. 357–366.
Zhang M, Liu Z, Feng J, Liu L, Jiao L. Remote sensing image change detection based on deep multi-scale multi-attention Siamese transformer network. Remote Sens. 2023;15(3):842.
Meng Q, Ma Q, Shi Y. Adaptive fixed-time stabilization for a class of uncertain nonlinear systems. IEEE Trans Autom Control. 2023.
Liu Y, Li G, Lin L. Cross-modal causal relational reasoning for event-level visual question answering. IEEE Trans Pattern Anal Mach Intell. 2023;45(10):11624–41.
Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser Ł, Polosukhin I. Attention is all you need. Adv Neural Inf Proces Syst. 2017;30:5998–6008.
Brown TB, Mann B, Ryder N, Subbiah M, Kaplan J, Dhariwal P, Neelakantan A, Shyam P, Sastry G, Askell A et al. Language models are few-shot learners. OpenAI Technical Report. 2020. [Online]. Available: https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf.
Adetokunbo I, Henderson P, Hudson J. GPT-3. 5-turbo: Larger models have more capabilities. OpenAI Blog. 2021;6(21)1–5.
Liu Z, Wen C, Su Z, Liu S, Sun J, Kong W et al. Emotion-semantic-aware dual contrastive learning for epistemic emotion identification of learner-generated reviews in MOOCS. IEEE Trans Neural Netw Learn Syst. 2023.
Liang X, Huang Z, Yang S, Qiu L. Device-free motion and trajectory detection via RFID. ACM Trans Embed Comput Syst. 2018;17(4):78.
Tay Y, Bahri D, Metzler D, Juan D-C, Zhao Z, Zheng C. Synthesizer: Rethinking self-attention for transformer models. In: International Conference on Machine Learning. PMLR; 2021. p. 10183–92.
Chefer H, Gur S, Wolf L. Transformer interpretability beyond attention visualization. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021. p. 782–91.
Vig J, Belinkov Y. Analyzing the structure of attention in a transformer language model. arXiv:1906.04284 [Preprint]. 2019.
Vig J. A multiscale visualization of attention in the transformer model. arXiv:1906.05714 [Preprint]. 2019.
Liu C, Wu T, Li Z, Ma T, Huang J. Robust online tensor completion for IoT streaming data recovery. IEEE Trans Neural Netw Learn Syst. 2022.
Liu J, Fan C, Peng Y, Du J, Wang Z et al. Emergent leader-follower relationship in networked multiagent systems. Sci China Inf Sci. 2023.
Chen X, Zhang H, Zhao F, Cai Y, Wang H, Ye Q. Vehicle trajectory prediction based on intention-aware non-autoregressive transformer with multi-attention learning for internet of vehicles. IEEE Trans Instrum Meas. 2022;71:1–12.
Hassani A, Walton S, Li J, Li S, Shi H. Neighborhood attention transformer. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023. p. 6185–94.
Sridhar S, Sanagavarapu S. Multi-head self-attention transformer for dogecoin price prediction. In: 2021 14th International Conference on Human System Interaction (HSI). IEEE; 2021. p. 1–6.
Guo F, Zhou W, Lu Q, Zhang C. Path extension similarity link prediction method based on matrix algebra in directed networks. Comput Commun. 2022;187:83–92.
Shen Y, Ding N, Zheng HT, Li Y, Yang M. Modeling relation paths for knowledge graph completion. IEEE Trans Knowl Data Eng. 2021;33(11):3607–17.
Huang J, Poulis A, Pappas N, Weiss R, Zoph B, Vaswani A, Le QV. Language models are few-shot learners. In: Advances in Neural Information Processing Systems. 2020. p. 1877–901.
Dixon L, Li Y, Sorelle A, Vasserman L, Zettlemoyer L, Weld DS. Measuring and mitigating unintended bias in text classification. In: Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society. 2018. p. 67–73.
Wang X, Gao Y, Xie J, Chen H, Deng L. Turing natural language generation: A scalable pretrained Chinese text-to-text generation model, in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics. 2020. p. 2651–61.
Strubell E, Ganesh A, McCallum A. Energy and policy considerations for deep learning in NLP. arXiv:1906.02243 [Preprint]. 2019.
Bender EM, Gebru T. The dangers of stylized language: Emergent biases and sociotechnical remedies. In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. ACM; 2021. p. 610–623.
Cao Y, Lin Z, Xu X, Tang Y, Zhang Z, Zhang Y. Clinic: A secure peer-to-peer healthcare blockchain framework with privacy preservation. IEEE Trans Ind Inf. 2020;16(6):4384–95.
Naidoo V. AI-powered chatbots for healthcare: A systematic review. Healthc Inform Res. 2021;27(1):39–50.
Ghai S, Ghai I. Artificial intelligence in healthcare: Current perspectives. India J Med Specialities. 2020;11(2):57–62.
Liu X, Faes L, Kale AU, Wagner SK, Fu DJ. Deep learning for healthcare decision making with EMR data. IEEE J Biomed Health Inform. 2020;24(11):3200–12.
Lam W, Demirjian N, Lau L. Patient education and artificial intelligence in the era of personalized medicine. Patient Educ Couns. 2021;104(3):463–8.
Smith SF, O’Connor M, Agha Z, Larrabee H, Hollander JE. The impact of artificial intelligence on healthcare delivery. J Gen Intern Med. 2020;35(5):1545–8.
Nielsen M, Skriver C, Lyngsøe AM, Hejlesen O. The use of chatbots in healthcare: Systematic review. J Med Internet Res. 2021;23(2):e20531.
Yang J, Zheng S, Tan SSY, Zhang Q. Development of a chatbot for mental health screening and promotion in adolescents: Case study of the implementation of google’s conversational agent in hong kong. JMIR Ment Health. 2020;7(11):e22619.
Blanco-Mavillard I, Molina-García JM, Flores-Calderón J, Señarís-González F, García-González M, Castro-Sánchez AM, Lomas-Vega R. Artificial intelligence in telemedicine: A bibliometric analysis. J Med Internet Res. 2021;23(3):e24598.
Marshall MT, Kallmann M, Cavazza M. Narrative intelligence in interactive systems: A comprehensive survey. In: Proceedings of the 2020 Conference on User Modeling Adaptation and Personalization. ACM; 2020. p. 339–48.
Wardrip-Fruin N, Mateas M. The role of non-player characters in game-based learning for k-12 education. In: Proceedings of the 14th International Conference on the Foundations of Digital Games. ACM; 2019. p. 1–8.
Zhang J, Tang Y, Wang H, Xu K. ASRO-DIO: Active subspace random optimization based depth inertial odometry. IEEE Trans Robot. 2022;1–13.
Li D, Yu H, Tee KP, Wu YS, Ge S et al. On time-synchronized stability and control. IEEE Trans Syst Man Cybern Syst. 2021;1–14.
Xu J, Park SH, Zhang X, Hu J. The improvement of road driving safety guided by visual inattentional blindness. IEEE Trans Intell Transp Syst. 2022;23(6):4972–4981.
Xu J, Guo K, Sun PZH. Driving performance under violations of traffic rules: Novice vs. experienced drivers. IEEE Trans Intell Veh. 2022.
Lu S, Ding Y, Liu M, Yin Z, Yin L, et al. Multiscale feature extraction and fusion of image and text in VQA. Int J Comput Intell Syst. 2023;16(1):54.
Li T, Li Y, Hoque MA, Xia T, Tarkoma S, et al. To what extent we repeat ourselves? Discovering daily activity patterns across mobile app usage. IEEE Trans Mob Comput. 2022;21(4):1492–507.
Liu X, Zhou G, Kong M, Yin Z, Li X, Yin L, et al. Developing multi-labelled corpus of twitter short texts: A semi-automatic method. Systems. 2023;11(8):390.
Yuan H, Yang B. System dynamics approach for evaluating the interconnection performance of cross-border transport infrastructure. J Manag Eng. 2022;38(3).
Xiao Y, Zuo X, Huang J, Konak A, Xu Y. The continuous pollution routing problem. Appl Math Comput. 2020;387:125072.
Liu X, Wang S, Lu S, Yin Z, Li X, Yin L, et al. Adapting feature selection algorithms for the classification of Chinese texts. Systems. 2023;11(9):483.
Liu X, Shi T, Zhou G, Liu M, Yin Z, Yin L, et al. Emotion classification for short texts: an improved multi-label method. Humanit Soc Sci Commun. 2023;10(1):306.
Deng Y, Zhang W, Xu W, Shen Y, Lam W. Nonfactoid question answering as query-focused summarization with graph-enhanced multihop inference. IEEE Trans Neural Netw Learn Syst. 2023.
留言 (0)