Abstract

Elicit is an advanced artificial intelligence (AI)-powered research assistant designed to automate and streamline literature review workflows by leveraging large language models (LLMs) to search, summarize, extract data, and synthesize insights from over 125 million academic papers. Grounded in natural language processing (NLP) and semantic search algorithms, Elicit facilitates semantic similarity matching to identify relevant literature beyond keyword-based queries, enabling researchers to generate automated reports, tables of extracted data, and interactive chats with paper content. This platform is particularly transformative for academics, scientists, and industry professionals in fields such as medicine, social sciences, and engineering, where it reduces time-intensive tasks like screening and data extraction by up to 80%, thereby accelerating evidence synthesis and hypothesis generation.