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Titlebook: HCI International 2023 – Late Breaking Posters; 25th International C Constantine Stephanidis,Margherita Antona,Gavriel Conference proceedi

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書(shū)目名稱HCI International 2023 – Late Breaking Posters
副標(biāo)題25th International C
編輯Constantine Stephanidis,Margherita Antona,Gavriel
視頻videohttp://file.papertrans.cn/421/420109/420109.mp4
叢書(shū)名稱Communications in Computer and Information Science
圖書(shū)封面Titlebook: HCI International 2023 – Late Breaking Posters; 25th International C Constantine Stephanidis,Margherita Antona,Gavriel  Conference proceedi
描述This two-volme set CCIS 1957-1958 is part of the refereed proceedings of the 25th International Conference on Human-Computer Interaction, HCII 2023, which was held in Copenhagen, Denmark, in July 2023.. ?. A total of 5583 individuals from academia, research institutes, industry, and governmental agencies from 88 countries submitted contributions, and 1276 papers and 275 posters were included in the proceedings that were published just before the start of the conference. Additionally, 296 papers and 181 posters are included in the volumes of the proceedings published after the conference, as “Late Breaking Work” (papers and posters). The contributions thoroughly cover the entire ?eld of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.
出版日期Conference proceedings 2024
關(guān)鍵詞artificial intelligence; communication systems; computer hardware; computer networks; computer systems; c
版次1
doihttps://doi.org/10.1007/978-3-031-49215-0
isbn_softcover978-3-031-49214-3
isbn_ebook978-3-031-49215-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Comparative Analysis for Open-Source Large Language Modelsdiverse language tasks such as content summarization, sentiment analysis, and conversational AI. The advent of these models has profoundly impacted human-computer interaction research, marking the onset of a new era in the field. The pioneering model, ChatGPT, was introduced by OpenAI in November 20
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Exploration and?Evaluation of?Prompting Methods for?Text Style Transferined much attention due to the promising performance of deep learning models. However, progress is still slow due to an overreliance on large datasets and a lack of reliable evaluation methodology. To address the data challenge, the present research proposes the usage of prompting techniques which h
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