{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T17:29:14Z","timestamp":1783790954565,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,24]],"date-time":"2024-05-24T00:00:00Z","timestamp":1716508800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Joint funds for Regional Innovation and Development of the National Natural Science","award":["No. U21A20449"],"award-info":[{"award-number":["No. U21A20449"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,24]]},"DOI":"10.1145\/3670105.3670140","type":"proceedings-article","created":{"date-parts":[[2024,7,29]],"date-time":"2024-07-29T18:29:36Z","timestamp":1722277776000},"page":"210-215","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Enhancing Persona Consistency with Large Language Models"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-4519-5188","authenticated-orcid":false,"given":"Haozhe","family":"Shi","sequence":"first","affiliation":[{"name":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1877-5982","authenticated-orcid":false,"given":"Kun","family":"Niu","sequence":"additional","affiliation":[{"name":"School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,7,29]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Qwen technical report. arXiv preprint arXiv:2309.16609","author":"Bai Jinze","year":"2023","unstructured":"Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, 2023. Qwen technical report. arXiv preprint arXiv:2309.16609 (2023)."},{"key":"e_1_3_2_1_2_1","volume-title":"Language models are few-shot learners. Advances in neural information processing systems 33","author":"Brown Tom","year":"2020","unstructured":"Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared\u00a0D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, 2020. Language models are few-shot learners. Advances in neural information processing systems 33 (2020), 1877\u20131901."},{"key":"e_1_3_2_1_3_1","volume-title":"Alpagasus: Training a better alpaca with fewer data. arXiv preprint arXiv:2307.08701","author":"Chen Lichang","year":"2023","unstructured":"Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, 2023. Alpagasus: Training a better alpaca with fewer data. arXiv preprint arXiv:2307.08701 (2023)."},{"key":"e_1_3_2_1_4_1","volume-title":"LoRA: Low-Rank Adaptation of Large Language Models. In International Conference on Learning Representations.","author":"Hu J","year":"2021","unstructured":"Edward\u00a0J Hu, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, 2021. LoRA: Low-Rank Adaptation of Large Language Models. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-acl.67"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383123"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the 24th Annual Conference of the European Association for Machine Translation. 193\u2013203","author":"Kocmi Tom","year":"2023","unstructured":"Tom Kocmi and Christian Federmann. 2023. Large Language Models Are State-of-the-Art Evaluators of Translation Quality. In Proceedings of the 24th Annual Conference of the European Association for Machine Translation. 193\u2013203."},{"key":"e_1_3_2_1_8_1","volume-title":"ChatHaruhi: Reviving Anime Character in Reality via Large Language Model. arXiv e-prints","author":"Li Cheng","year":"2023","unstructured":"Cheng Li, Ziang Leng, Chenxi Yan, Junyi Shen, Hao Wang, Weishi MI, Yaying Fei, Xiaoyang Feng, Song Yan, HaoSheng Wang, 2023. ChatHaruhi: Reviving Anime Character in Reality via Large Language Model. arXiv e-prints (2023), arXiv\u20132308."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1094"},{"key":"e_1_3_2_1_10_1","volume-title":"Large Language Models as Counterfactual Generator: Strengths and Weaknesses. arXiv preprint arXiv:2305.14791","author":"Li Yongqi","year":"2023","unstructured":"Yongqi Li, Mayi Xu, Xin Miao, Shen Zhou, and Tieyun Qian. 2023. Large Language Models as Counterfactual Generator: Strengths and Weaknesses. arXiv preprint arXiv:2305.14791 (2023)."},{"key":"e_1_3_2_1_11_1","volume-title":"NeurIPS 2023 Workshop on Synthetic Data Generation with Generative AI.","author":"Ma Mingyu\u00a0Derek","year":"2023","unstructured":"Mingyu\u00a0Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P\u00a0Jeffrey Brantingham, Nanyun Peng, and Wei Wang. 2023. STAR: Improving Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models. In NeurIPS 2023 Workshop on Synthetic Data Generation with Generative AI."},{"key":"e_1_3_2_1_12_1","volume-title":"PEFT: State-of-the-art Parameter-Efficient Fine-Tuning methods. https:\/\/github.com\/huggingface\/peft.","author":"Mangrulkar Sourab","year":"2022","unstructured":"Sourab Mangrulkar, Sylvain Gugger, Lysandre Debut, Younes Belkada, Sayak Paul, and Benjamin Bossan. 2022. PEFT: State-of-the-art Parameter-Efficient Fine-Tuning methods. https:\/\/github.com\/huggingface\/peft."},{"key":"e_1_3_2_1_13_1","unstructured":"OpenAI. 2023. GPT-3.5 Turbo API reference. Website. https:\/\/platform.openai.com\/docs\/models\/gpt-3-5-turbo."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.84"},{"key":"e_1_3_2_1_15_1","volume-title":"An In-Depth Analysis of the Question Answering Performance of the GPT LLM Family. In International Semantic Web Conference. Springer, 348\u2013367","author":"Tan Yiming","year":"2023","unstructured":"Yiming Tan, Dehai Min, Yu Li, Wenbo Li, Nan Hu, Yongrui Chen, and Guilin Qi. 2023. Can ChatGPT Replace Traditional KBQA Models? An In-Depth Analysis of the Question Answering Performance of the GPT LLM Family. In International Semantic Web Conference. Springer, 348\u2013367."},{"key":"e_1_3_2_1_16_1","volume-title":"Self-Instruct: Aligning Language Models with Self-Generated Instructions. In The 61st Annual Meeting Of The Association For Computational Linguistics.","author":"Wang Yizhong","year":"2023","unstructured":"Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah\u00a0A Smith, Daniel Khashabi, and Hannaneh Hajishirzi. 2023. Self-Instruct: Aligning Language Models with Self-Generated Instructions. In The 61st Annual Meeting Of The Association For Computational Linguistics."},{"key":"e_1_3_2_1_17_1","volume-title":"International Conference on Learning Representations.","author":"Wei Jason","year":"2021","unstructured":"Jason Wei, Maarten Bosma, Vincent Zhao, Kelvin Guu, Adams\u00a0Wei Yu, Brian Lester, Nan Du, Andrew\u00a0M Dai, and Quoc\u00a0V Le. 2021. Finetuned Language Models are Zero-Shot Learners. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_18_1","first-page":"24824","article-title":"Chain-of-thought prompting elicits reasoning in large language models","volume":"35","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc\u00a0V Le, Denny Zhou, 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in Neural Information Processing Systems 35 (2022), 24824\u201324837.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/365153.365168"},{"key":"e_1_3_2_1_20_1","volume-title":"The Free Encyclopedia. https:\/\/en.wikipedia.org\/wiki\/Chinese_Paladin_3_(TV_series) [Online","year":"2023","unstructured":"Wikipedia. 2023. Chinese Paladin 3 \u2014 Wikipedia, The Free Encyclopedia. https:\/\/en.wikipedia.org\/wiki\/Chinese_Paladin_3_(TV_series) [Online; accessed 22-October-2023]."},{"key":"e_1_3_2_1_21_1","volume-title":"Sentiment Analysis in the Era of Large Language Models: A Reality Check. arXiv preprint arXiv:2305.15005","author":"Zhang Wenxuan","year":"2023","unstructured":"Wenxuan Zhang, Yue Deng, Bing Liu, Sinno\u00a0Jialin Pan, and Lidong Bing. 2023. Sentiment Analysis in the Era of Large Language Models: A Reality Check. arXiv preprint arXiv:2305.15005 (2023)."},{"key":"e_1_3_2_1_22_1","volume-title":"Siren\u2019s Song in the AI Ocean: A Survey on Hallucination in Large Language Models. arXiv preprint arXiv:2309.01219","author":"Zhang Yue","year":"2023","unstructured":"Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, 2023. Siren\u2019s Song in the AI Ocean: A Survey on Hallucination in Large Language Models. arXiv preprint arXiv:2309.01219 (2023)."}],"event":{"name":"CNIOT 2024: 2024 5th International Conference on Computing, Networks and Internet of Things","location":"Tokyo Japan","acronym":"CNIOT 2024"},"container-title":["Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3670105.3670140","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3670105.3670140","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T15:49:10Z","timestamp":1755877750000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3670105.3670140"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,24]]},"references-count":22,"alternative-id":["10.1145\/3670105.3670140","10.1145\/3670105"],"URL":"https:\/\/doi.org\/10.1145\/3670105.3670140","relation":{},"subject":[],"published":{"date-parts":[[2024,5,24]]},"assertion":[{"value":"2024-07-29","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}