A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration-Reference-Cited by-同舟云学术

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A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration

Published:2024-05-11 Issue: Volume:35 Page:1-11
ISSN:
Container-title:Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
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Author:

Gao Jie¹^ORCID,Gebreegziabher Simret Araya²^ORCID,Choo Kenny Tsu Wei³^ORCID,Li Toby Jia-Jun²^ORCID,Perrault Simon Tangi⁴^ORCID,Malone Thomas W⁵^ORCID

Affiliation:

1. Singapore-MIT Alliance for Research and Technology, Singapore

2. Department of Computer Science and Engineering, University of Notre Dame, United States

3. Information Systems Technology and Design, Singapore University of Technology and Design, Singapore

4. Singapore University of Technology and Design, Singapore

5. Center for Collective Intelligence, Sloan School of Mgmt., Massachusetts Institute of Technology, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613905.3650786

Reference85 articles.

1. Laura Aina and Tal Linzen. 2021. The language model understood the prompt was ambiguous: Probing syntactic uncertainty through generation. arXiv preprint arXiv:2109.07848 (2021).

2. Spellburst: A Node-based Interface for Exploratory Creative Coding with Natural Language Prompts

3. ChainForge: An open-source visual programming environment for prompt engineering

4. Interacting with Next-Phrase Suggestions: How Suggestion Systems Aid and Influence the Cognitive Processes of Writing

5. Follow the Successful Herd: Towards Explanations for Improved Use and Mental Models of Natural Language Systems

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