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Titlebook: Chatbot Research and Design; 7th International Wo Asbj?rn F?lstad,Theo Araujo,Petter Bae Brandtzaeg Conference proceedings 2024 The Editor(

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樓主: 令人不愉快
11#
發(fā)表于 2025-3-23 13:16:58 | 只看該作者
https://doi.org/10.1007/978-1-4302-0104-5rom human-robot interaction literature and interviews, we developed Saleshat based on the commercial social robot Furhat and the large language model GPT-4. Saleshat emphasizes refined natural language processing and dynamic control of the robot’s physical appearance through the LLM. Responses from
12#
發(fā)表于 2025-3-23 14:00:20 | 只看該作者
13#
發(fā)表于 2025-3-23 20:03:43 | 只看該作者
https://doi.org/10.1007/978-1-4302-0104-5he research examines alignment performances across different conversational contexts and compares the performance of the two models. The findings highlight the significant improvements in GPT-4’s ability to foster lexical alignment, and the influence of conversation topics on alignment patterns.
14#
發(fā)表于 2025-3-23 23:39:49 | 只看該作者
Building a Reusable Reporting Framework,in Chatbots. Dark Patterns are intentionally deceptive designs that trick users into acting contrary to their intention - and in favor of the organization that implements them. Chatbots, as a kind of conversational user interface, can potentially also suffer from Dark Patterns or other poor interact
15#
發(fā)表于 2025-3-24 05:36:34 | 只看該作者
16#
發(fā)表于 2025-3-24 09:00:48 | 只看該作者
17#
發(fā)表于 2025-3-24 13:30:05 | 只看該作者
Matthew MacDonald,Mario Szpuszta could prove fruitful is to video games, where LLMs could be used to provide conversational responses from non-playable characters (NPCs) that are more dynamic and diverse. Additionally, LLMs could allow players the autonomy to converse in open-ended conversations potentially improving player immers
18#
發(fā)表于 2025-3-24 15:38:10 | 只看該作者
19#
發(fā)表于 2025-3-24 22:53:48 | 只看該作者
Data Components and the DataSetntelligence (genAI) have the potential to facilitate this learning process by offering personalized guidance, interactive learning experiences, and code generation. However, current genAI-based chatbots focus on professional developers and may not adequately consider educational needs. Involving edu
20#
發(fā)表于 2025-3-25 02:42:43 | 只看該作者
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