Results 1 to 10 of about 20,815,181 (314)
Large language models encode clinical knowledge [PDF]
Nature, 2022 Med-PaLM, a state-of-the-art large language model for medicine, is introduced and evaluated across several medical question answering tasks, demonstrating the promise of these models in this domain.
K. Singhal +29 more
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ACM Computing Surveys, 2021 In this article, we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data.
Aidan Hogan +17 more
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Acknowledgment to the Reviewers of Knowledge in 2022
Knowledge, 2023 High-quality academic publishing is built on rigorous peer review [...]
Knowledge Editorial Office
doaj +1 more source
Knowledge Distillation: A Survey [PDF]
International Journal of Computer Vision, 2020 In recent years, deep neural networks have been successful in both industry and academia, especially for computer vision tasks. The great success of deep learning is mainly due to its scalability to encode large-scale data and to maneuver billions of ...
Jianping Gou, B. Yu, S. Maybank, D. Tao
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Gene Set Knowledge Discovery with Enrichr
Current Protocols, 2021 Profiling samples from patients, tissues, and cells with genomics, transcriptomics, epigenomics, proteomics, and metabolomics ultimately produces lists of genes and proteins that need to be further analyzed and integrated in the context of known biology.
Zhuorui Xie +11 more
semanticscholar +1 more source
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2020 Human knowledge provides a formal understanding of the world. Knowledge graphs that represent structural relations between entities have become an increasingly popular research direction toward cognition and human-level intelligence.
Shaoxiong Ji +4 more
semanticscholar +1 more source
Unifying Large Language Models and Knowledge Graphs: A Roadmap [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2023 Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the field of natural language processing and artificial intelligence, due to their emergent ability and generalizability. However, LLMs are black-box models, which often fall
Shirui Pan +5 more
semanticscholar +1 more source
Knowledge and Approximate Knowledge [PDF]
Erkenntnis, 2013 Traditionally, epistemologists have held that only truth-related factors matter in the question of whether a subject can be said to know a proposition. Various philosophers have recently departed from this doctrine by claiming that the answer to this question also depends on practical concerns.
Decock, Lieven +3 more
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THE INFLUENCE OF MICROFINANCE INSTITUTIONS ON NIGERIAN SMALL, MICRO, AND MEDIUM ENTERPRISES
IJEBD (International Journal of Entrepreneurship and Business Development), 2023 Purpose: Poverty is a significant concern in most countries, including Nigeria, which has been dubbed the world's poverty capital. Most developing countries regard small, micro, and medium-sized companies (SMMEs) as a sure strategy to reduce poverty by ...
KNOWLEDGE SHUMBA +2 more
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Language Models as Knowledge Bases? [PDF]
Conference on Empirical Methods in Natural Language Processing, 2019 Recent progress in pretraining language models on large textual corpora led to a surge of improvements for downstream NLP tasks. Whilst learning linguistic knowledge, these models may also be storing relational knowledge present in the training data, and
F. Petroni +6 more
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