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High-quality cotton fiber paper is known to last hundreds of years without appreciable fading, discoloration, or deterioration, [1] so it is often used for important documents, such as the archival copies of dissertations or theses. As a rule of thumb, for each percentage point of cotton fiber, a user may expect one year of resisting ...
Research into automated generation of Wikipedia-like text long predates the current AI boom fueled by the 2022 release of ChatGPT. However, the authors point out that such efforts have "generally focused on evaluating the generation of shorter snippets (e.g., one paragraph), within a narrower scope (e.g., a specific domain or two), or when an explicit outline or reference documents are supplied."
Retrieval-Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to augment information drawn from its own vast, static training data.
Prompt engineering is the process of structuring or crafting an instruction in order to produce the best possible output from a generative artificial intelligence (AI) model. [1] A prompt is natural language text describing the task that an AI should perform. [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] The Semantic Scholar team is actively researching the use of artificial intelligence in natural language processing , machine learning , human–computer ...
Academic style has often been criticized for being too full of jargon and hard to understand by the general public. [11] [12] In 2022, Joelle Renstrom argued that the COVID-19 pandemic has had a negative impact on academic writing and that many scientific articles now "contain more jargon than ever, which encourages misinterpretation, political spin, and a declining public trust in the ...