Adaptive Prompt Elicitation (APE) uses an information-theoretic framework to generate visual queries that elicit and compile user intent into better prompts for text-to-image models, showing improved alignment in benchmarks and a user study.
InProceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.HC 2years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
support 1representative citing papers
The UnReality Camera augments instant photos with generative AI from spoken input, and a design probe found users balancing artistic control with appreciation for unpredictability, suspense during printing, and ownership from the physical form.
citing papers explorer
-
Adaptive Prompt Elicitation for Text-to-Image Generation
Adaptive Prompt Elicitation (APE) uses an information-theoretic framework to generate visual queries that elicit and compile user intent into better prompts for text-to-image models, showing improved alignment in benchmarks and a user study.
-
Exploring Instant Photography using Generative AI: A Design Probe with the UnReality Camera
The UnReality Camera augments instant photos with generative AI from spoken input, and a design probe found users balancing artistic control with appreciation for unpredictability, suspense during printing, and ownership from the physical form.