65 citations · 73 across the 7 of their papers we have counts for
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cs.HC2022★ 65 cited
Best Prompts for Text-to-Image Models and How to Find Them
Nikita Pavlichenko, Dmitry Ustalov
Recent progress in generative models, especially in text-guided diffusion models, has enabled the production of aesthetically-pleasing imagery resembling the works of professional…
cs.HC2021
IMDB-WIKI-SbS: An Evaluation Dataset for Crowdsourced Pairwise Comparisons
Nikita Pavlichenko, Dmitry Ustalov
Today, comprehensive evaluation of large-scale machine learning models is possible thanks to the open datasets produced using crowdsourcing, such as SQuAD, MS COCO, ImageNet, Super…
cs.HC2021★ 6 cited
Learning from Crowds with Crowd-Kit
Dmitry Ustalov, Nikita Pavlichenko, Boris Tseitlin
This paper presents Crowd-Kit, a general-purpose computational quality control toolkit for crowdsourcing. Crowd-Kit provides efficient and convenient implementations of popular qua…