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Allen Institute for Artificial Intelligence [141] SemOpenAlex: Multidisciplinary SemOpenAlex extends the capabilities of OpenAlex by providing semantic representations of scholarly metadata. It integrates knowledge graph-based features to enhance the discovery of research trends, collaborations, and literature interconnections across all ...
Semantic Scholar is a research tool for scientific literature. It is developed at the Allen Institute for AI and was publicly released in November 2015. [2] Semantic Scholar uses modern techniques in natural language processing to support the research process, for example by providing automatically generated summaries of scholarly papers. [3]
Paper volumes are printed by the AAAI Press. The Journal for Artificial Intelligence Research (JAIR) is one of the premier publication venues in artificial intelligence. JAIR also stands out in that, since its launch in 1993, it has been 100% open-access and non-profit.
Members of the site each have a user profile and can upload research output including papers, data, chapters, negative results, patents, research proposals, methods, presentations, and software source code. Users may also follow the activities of other users and engage in discussions with them.
arch-ive/YYMMNNN for older papers, e.g. hep-th/9901001. Different versions of the same paper are specified by a version number at the end. For example, 1709.08980v1. If no version number is specified, the default is the latest version. arXiv uses a category system. Each paper is tagged with one or more categories. Some categories have two layers.
[6] [7] At the time, the focus of the research was on improving Seq2seq techniques for machine translation, but the authors go further in the paper, foreseeing the technique's potential for other tasks like question answering and what is now known as multimodal Generative AI. [1] The paper's title is a reference to the song "All You Need Is ...
AI-generated journal reviews have some advantages over those written by people—and big pitfalls. AI Writes Scientific Papers That Sound Great—but Aren't Accurate Skip to main content
Generative artificial intelligence (generative AI, GenAI, [166] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 167 ] [ 168 ] [ 169 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 170 ...