Task Supportive and Personalized Human-Large Language Model Interaction: A User Study

Author:

Wang Ben1ORCID,Liu Jiqun1ORCID,Karimnazarov Jamshed1ORCID,Thompson Nicolas1ORCID

Affiliation:

1. University of Oklahoma, United States

Funder

National Science Foundation

Seed Funding Program of the Data Institute for Societal Challenges, the University of Oklahoma

Microsoft for Startups Founders Hub

Publisher

ACM

Reference35 articles.

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4. Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning

5. Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D 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), 1877–1901.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Proactive System for Supporting Users in Interactions with Large Language Models;Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval;2024-03-10

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