Traditional search engines rely on keyword matching. Undermind understands your research question in natural language and evaluates hundreds of papers for semantic relevance — finding the papers that would otherwise slip through the cracks.
Type your research question in plain English — no need to think of the right keywords. For example: "What are the main approaches to few-shot learning in computer vision?"
Undermind's AI reads the full text of papers — not just abstracts — and evaluates semantic relevance to your specific question. It understands methodology, context, and findings.
Get a ranked list of papers with relevance scores and explanations. Each result includes why it matters to your question, not just a title and abstract.