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

Computer Science

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

M. Reza, P. Dushniku, et al.

Discover how ABScribe revolutionizes the writing process by allowing seamless exploration of writing variations with LLM prompts. This innovative interface was developed by Mohi Reza, Peter Dushniku, Tovi Grossman, Nathan Laundry, Michael Yu, Michael Liut, Joseph Jay Williams, Ilya Musabirov, Kashish Mittal, and Anastasia Kuzminykh from the University of Toronto.

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Playback language: English
Citation Metrics
Citations
24
Influential Citations
1
Reference Count
113
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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