Geoffrey E Mickells, Janet Figueroa, Kelly Withers West, Anna Wood, Barbara O McElhanon
Adherence to Masking Requirement During the COVID-19 Pandemic by Early Elementary School Children
The Journal of school health
use natural language interfaces nlis create charts becoming increasingly popular due intuitiveness natural language interactions one key challenge approach accurately capture user intents transform proper chart specifications obstructs wide use nli chart generation users natural language inputs generally abstract ie ambiguous underspecified without clear specification visual encodings recently pretrained large language models llms exhibited superior performance understanding generating natural language demonstrating great potential downstream tasks inspired major trend propose chartgpt generating charts abstract natural language inputs however llms struggling address complex logic problems enable model accurately specify complex parameters perform operations chart generation decompose generation process stepbystep reasoning pipeline model needs reason single specific subtask run moreover llms pretrained general datasets might biased task chart generation provide adequate visualization knowledge create dataset consisting abstract utterances charts improve model performance finetuning design interactive interface chartgpt allows users check modify intermediate outputs step effectiveness proposed system evaluated quantitative evaluations user study