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The Semantic Scholar team is actively researching the use of artificial intelligence in natural language processing, machine learning, human–computer interaction, and information retrieval. Semantic Scholar began as a database for the topics of computer science, geoscience, and neuroscience.
Semantic Scholar does not endorse or support any claims made within any papers currently available on the site. As an academic search engine and discovery tool, Semantic Scholar is not engaged in any editorial decisions in the publishing process.
We are an interdisciplinary research team focused on AI, HCI, ML, NLP, accessibility and computational social science in support of Semantic Scholar's mission of accelerating science. Our team is part of the Allen Institute for AI , a nonprofit research institute advancing AI for the common good.
Oct 6, 2023 · Semantic Scholar is a free, AI-powered research tool for scientific literature, based at the Allen Institute for AI. Learn More. About; About Us; Meet the ...
Oct 6, 2023 · Semantic Reader is based on research from the Semantic Scholar team at AI2, UC Berkeley and the University of Washington, and supported in part by the Alfred P. Sloan Foundation. Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols
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 ...
We are an interdisciplinary research team focused on AI, HCI, ML, NLP, accessibility and computational social science in support of Semantic Scholar's mission of accelerating science. Our team is part of the Allen Institute for AI , a nonprofit research institute advancing AI for the common good.
