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

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 …

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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In this paper we present basic and optimized algorithms for semantic matching, and we discuss their implementation within the S-Match system. We evaluate S-Match against three state of …

Semantic Scholar is a free, AI-powered search and discovery tool that helps researchers discover and understand scientific literature that's most relevant to their work.

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 …

Jun 18, 2024 · This report primarily focuses on the GLM-4 language series, which includes GLM-4, GLM-4-Air, and GLM-4-9B, which represent the most capable models that are trained with …

The new TLDR feature in Semantic Scholar automatically generates single-sentence paper summaries using GPT-3 style techniques, helping you decide which papers to read.

Examples: https://api.semanticscholar.org/graph/v1/paper/search/match?query=Construction of the Literature Graph in Semantic Scholar Returns a single paper that is the closest title match. …