ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models-Reference-Cited by-同舟云学术

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ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models

Published:2024-05-11 Issue: Volume:15 Page:1-18
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
language:
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Author:

Reza Mohi¹^ORCID,Laundry Nathan M¹^ORCID,Musabirov Ilya¹^ORCID,Dushniku Peter²^ORCID,Yu Zhi Yuan “Michael”²^ORCID,Mittal Kashish²^ORCID,Grossman Tovi¹^ORCID,Liut Michael³^ORCID,Kuzminykh Anastasia⁴^ORCID,Williams Joseph Jay¹^ORCID

Affiliation:

1. Computer Science, University of Toronto, Canada

2. University of Toronto, Canada

3. Mathematical and Computational Sciences, University of Toronto Mississauga, Canada

4. Faculty of Information, University of Toronto, Canada

Funder

NSF (National Science Foundation)

Natural Sciences and Engineering Research Council of Canada

Office of Naval Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3641899

Reference99 articles.

1. Object-based image editing

2. INTELLIGENT FAILURES: CLIPPY MEMES AND THE LIMITS OF DIGITAL ASSISTANTS

3. Reification, polymorphism and reuse

4. From Tool to Companion: Storywriters Want AI Writers to Respect Their Personal Values and Writing Strategies

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