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Reed Library

AI Research Tools

Semantic Scholar

Overview

Semantic Scholar is a free AI-powered academic search engine created by the Allen Institute for AI, a non-profit research institute founded by Microsoft co-founder Paul Allen. Launched in 2015, it uses machine learning algorithms to analyze and understand scientific literature, making it easier to find relevant research across disciplines. Unlike traditional keyword-based searches, Semantic Scholar uses the meaning and context of search terms, helping researchers discover papers they might miss with conventional searches. The platform covers over 200 million papers from a wide range of fields, focusing on science.

Access: https://www.semanticscholar.org/

Key Features

Semantic Search

  • Understands context and meaning
  • Finds related concepts even with different terminology

TLDR Summaries

  • One-sentence AI summaries of paper objectives and findings (these are LLM generated and not always reliable)
  • Quickly scan through search results

Research Feeds

  • Personalized recommendations based on saved papers
  • Email alerts for new relevant publications

Citation Context

  • Shows how papers cite each other
  • Identifies influential citations vs. mention

Getting Started

Video Tutorial

Best For

  • Initial topic exploration (AI-powered semantic search)
  • Staying current with new publications
  • Finding sources in a wide-ranging database