Zobrazeno 1 - 10
of 114 304
pro vyhledávání: '"Interaction patterns"'
Autor:
Lim, Jieun
Publikováno v:
Educational Technology & Society, 2024 Jan 01. 27(1), 35-49.
Externí odkaz:
https://www.jstor.org/stable/48754840
Many real-world problems, such as controlling swarms of drones and urban traffic, naturally lend themselves to modeling as multi-agent reinforcement learning (RL) problems. However, existing multi-agent RL methods often suffer from scalability challe
Externí odkaz:
http://arxiv.org/abs/2410.02516
User comments on social media have been recognized as a crucial factor in distinguishing between fake and real news, with many studies focusing on the textual content of user reactions. However, the interactions among agents in the comment sections f
Externí odkaz:
http://arxiv.org/abs/2407.05083
Autor:
Li, Jiayang, Li, Jiale
The outstanding performance capabilities of large language model have driven the evolution of current AI system interaction patterns. This has led to considerable discussion within the Human-AI Interaction (HAII) community. Numerous studies explore t
Externí odkaz:
http://arxiv.org/abs/2404.04570
Publikováno v:
Anadolu Üniversitesi Eğitim Fakültesi dergisi, Vol 8, Iss 3, Pp 1025-1039 (2024)
The aim of this study is to reveal intercultural interaction patterns in active learning groups. The study group consists of 28 students between ages of 15-17 who continue their education in the 9th, 10th and 11th grades. The participating students i
Externí odkaz:
https://doaj.org/article/5451961232f94c4a80bb3188dddeda1d
Akademický článek
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Autor:
O. E. Olawe
Publikováno v:
Дискурс профессиональной коммуникации, Vol 6, Iss 3, Pp 60-79 (2024)
Online dating has become a popular stage to find a romantic partner. In such context, interlocutors must employ language carefully to reveal their intentions, attract attention and as well sustain intimacy with their potential partners. While previou
Externí odkaz:
https://doaj.org/article/d9abf5ffeaae46b0b62894f8ddc76804
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Akademický článek
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Exploring Interaction Patterns for Debugging: Enhancing Conversational Capabilities of AI-assistants
Autor:
Chopra, Bhavya, Bajpai, Yasharth, Biyani, Param, Soares, Gustavo, Radhakrishna, Arjun, Parnin, Chris, Gulwani, Sumit
The widespread availability of Large Language Models (LLMs) within Integrated Development Environments (IDEs) has led to their speedy adoption. Conversational interactions with LLMs enable programmers to obtain natural language explanations for vario
Externí odkaz:
http://arxiv.org/abs/2402.06229