CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models-Reference-Cited by-同舟云学术

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CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models

Published:2024-05-11 Issue: Volume: Page:1-24
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Ha Juhye¹^ORCID,Jeon Hyeon²^ORCID,Han Daeun³^ORCID,Seo Jinwook²^ORCID,Oh Changhoon⁴^ORCID

Affiliation:

1. Graduate School of Information, Graduate School of Information Yonsei University, Korea, Republic of and Graduate School of Information, Graduate School of Information Yonsei University, Korea, Republic of

2. Department of Computer Science and Engineering, Seoul National University, Korea, Republic of and Department of Computer Science and Engineering, Seoul National University, Korea, Republic of

3. yonsei univ. UX lab, graduate school, Korea, Republic of and yonsei univ. UX lab, graduate school, Korea, Republic of

4. Graduate School of Information, Yonsei University, Korea, Republic of and Graduate School of Information, Yonsei University, Korea, Republic of

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642472

Reference110 articles.

1. [n. d.]. F/awesome-CHATGPT-prompts. https://github.com/f/awesome-chatgpt-prompts

2. [n. d.]. Google Bard. https://bard.google.com/

3. [n. d.]. Introducing ChatGPT. https://openai.com/blog/chatgpt/

4. [n. d.]. Introducing GPTs. https://openai.com/blog/introducing-gpts

5. Ankush Agarwal, Sakharam Gawade, Amar Prakash Azad, and Pushpak Bhattacharyya. 2023. KITLM: Domain-Specific Knowledge InTegration into Language Models for Question Answering. arxiv:2308.03638 [cs.CL]

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