Frankentexts force LLMs to compose coherent long-form stories by copying 90% of tokens verbatim from random human snippets, yielding better quality and originality than vanilla generation while evading detectors.
InProceedings of the 41st International Conference on Machine Learning, ICML’24
3 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
roles
background 1polarities
background 1representative citing papers
CanvasConvo presents a spatial canvas interface for branching LLM conversations, evaluated in a 5-7 day field study with 24 participants that found support for exploratory workflows.
Structural mental models of AI writing assistants improve system understanding and usability but result in more grammatical errors in user writing compared to functional models.
citing papers explorer
-
Frankentext: Stitching random text fragments into long-form narratives
Frankentexts force LLMs to compose coherent long-form stories by copying 90% of tokens verbatim from random human snippets, yielding better quality and originality than vanilla generation while evading detectors.
-
Conversations in Space: Structuring Non-Linear LLM Interactions on a Canvas
CanvasConvo presents a spatial canvas interface for branching LLM conversations, evaluated in a 5-7 day field study with 24 participants that found support for exploratory workflows.
-
From Use to Oversight: How Mental Models Influence User Behavior and Output in AI Writing Assistants
Structural mental models of AI writing assistants improve system understanding and usability but result in more grammatical errors in user writing compared to functional models.