Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant research.

To create a better reading experience, Semantic Reader uses artificial intelligence to understand a document’s structure and merge it with the Semantic Scholar’s academic corpus, providing …

Semantic Scholar provides free, AI-driven research tools and open resources for all researchers. Search and cite any papers, manage your reading lists in your personal library, and get AI …

The semantic web was proposed in 1994 by the inventor of the original world wide web, Sir Tim Berners-lee. He outlined a web of information that provided meaning and structure to …

What is the advantage of using Semantic Scholar instead of other academic search engines? Does Semantic Scholar offer programmatic access to its data through an API or downloadable …

The Semantic Scholar REST API uses standard HTTP verbs, response codes, and authentication. This tutorial will teach you how to interact with the API by sending requests and …

This work introduces PromptPrism, a linguistically-inspired taxonomy that enables prompt analysis across three hierarchical levels: functional structure, semantic component, and syntactic pattern.

Aug 13, 2025 · This survey provides a comprehensive overview of recent progress in 3DGS applications, and introduces 2D foundation models that support semantic understanding and …

Not only is the Semantic Scholar API very easy to use, quick, and reliable, but it also incorporates a lot of additional metadata like PDF URLs, abstract, summarization, and more, that are not …

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