Harnessing GenAI in Your Academic Journey

Semantic Scholar offers search functions similar to search engines and academic databases, but with enhanced AI capabilities, including:

• AI Enhanced Search: Techniques that utilizes machine learning to extract meaning and identify connections from within papers, which helps navigates sources more efficiently than traditional keyword-based search engines.
• Citation Insights: Feature that facilitates the in-depth understanding of the citations of a work, such as recency, classification of which part the others are citing and citing authors.
• TLDRs (Too Long; Didn't Read):  Short summaries of the objective and results to help researchers to skim through search results.
• Semantic Reader: An AI-powered augmented reading application, which helps researchers comprehend papers faster, available for most arXiv papers.

📌 Tip: Semantic Scholar may provide a publisher's link to the academic paper in the search results. To read the full-text of these sources, install library browser plug-ins to access them directly from publisher's webpage, bypassing the library webpage.

To get an overview of the key features of Perplexity, check out Getting started with Perplexity and A student's guide to using Perplexity Spaces, which explain how you can apply it for learning. 

While Perplexity is an user-friendly tool for quick information retrieval and initial topic exploration, it is more general-purpose and has limitations like other GenAI tools. Evaluate the content generated by Perplexity, master basic research skills and use it in conjunction other sources.

📌 Tip: Perplexity may draw on academic sources to compile its responses. To read the full-text of these sources, install library browser plug-ins to access them directly from publishers, bypassing the library webpage.