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Sep 1, 2021 · Semantic Scholar’s alert system, called an adaptive research feed, builds a list of recommended papers that users can train by liking or disliking the articles they see. To decide which papers ...
Oct 6, 2023 · Aug 7, 2023. 5 min read. Semantic Scholar provides resources as free services for the global research community as part of our mission to accelerate scientific breakthroughs with AI.
This paper combines public and proprietary data sources using state-of-theart techniques for scholarly PDF content extraction and automatic knowledge graph construction to build the Semantic Scholar Academic Graph, the largest open scientific literature graph to-date. The volume of scientific output is creating an urgent need for automated tools to help scientists keep up with developments in their field. Semantic Scholar (S2) is an open data platform and website aimed at accelerating ...
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Oct 6, 2023 · Semantic Scholar's automatically generated TLDRs help researchers quickly decide which papers to add to their reading list." "People often ask why are TLDRs better than abstracts, but the two serve completely different purposes. Since TLDRs are 20 words instead of 200, they are much faster to skim."
Mar 15, 2023 · GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs, is developed, a Transformer-based model pre-trained to predict the next token in a document which exhibits human-level performance on various professional and academic benchmarks. We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs. While less capable than humans in many real-world scenarios, GPT-4 exhibits ...
