Étienne Fortier-Dubois

Last month, we introduced Elicit Systematic Review, a new AI workflow that allows researchers to find papers, screen titles and abstracts, and extract data from full-text papers in 80% less time, without compromising accuracy. Through internal and external evaluations, we find that Elicit Systematic Review provides screening and extraction accuracy

We recently announced Elicit Reports: fully-automated research overviews for actual researchers, inspired by systematic reviews. Through external evaluation by researcher specialists, we find that Elicit Reports produce higher quality research overviews and save more time than the other “deep research” tools, including well-known ones like ChatGPT Deep Research, Perplexity Deep

Elicit’s mission is to scale up good reasoning. Large language models (LLMs) are currently the most promising technology to achieve this goal, and we use them extensively to help our users search and analyze the scientific literature.  But LLMs are known for their unreliability: they often misunderstand instructions, fail