A flowchart illustrates an iterative loop for improving text simplification. An original text is simplified and then evaluated on readability, completeness and entailment. Based on the evaluation, prompts are refined and ranked to continue the loop.

“The path to Simplify began in the specialized world of medicine, where no detail should be spared. « Doctors sometimes use language that’s purposefully obscured to reduce patient anxiety or preserve privacy, » says Diego Ardila, a Google Research software engineer. « They might say, ‘The patient is undergoing emesis,’ which just means they’re vomiting. Sometimes there’s a use for that inside a hospital, but other times it actually gets in the way.”The team built an internal simplification demo, and started testing it on text outside of medicine. “We found that it just kept working because the underlying AI models are general-purpose,” Diego says. “Seeing its potential for broader applications, we shared it with other teams.””

Source : How Simplify in the Google app uses AI to make complex text easier to understand