Making Your Literature Review More Efficient with Elicit

A webinar with Elicit co-founder Jungwon Byun on using language models to search 125M+ papers, extract data for systematic reviews, and map concepts across studies.
2024
webinar
ai-tools-series
ai-tools
Organiser

SMU Researcher Club

Event Date

February 29, 2024

At a glance

Date Thursday, 29 February 2024
Time 12:00 PM – 1:00 PM
Format Webinar
TipPart of the AI-Powered Research Tools Webinar Series (Jan – Mar 2024)

This 3-part webinar series featured three AI-powered research tools: Scispace, Elicit, and Scite.

About this session

Presented by Jungwon Byun, Cofounder and COO of Elicit — an AI research assistant using language models to scale high-quality reasoning. Over 200,000 researchers from universities like Stanford, Yale, University of Cambridge, and HKUST use Elicit every month to search more than 125 million papers in natural language.

Researchers use Elicit to extract data for systematic literature reviews, to find datasets or techniques commonly discussed in literature, and to map concepts across papers.

Resources