Results 11 to 20 of about 22,283,149 (341)

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, Shekoofeh Azizi, T. Tu, S. Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, A. Tanwani, H. Cole-Lewis, S. Pfohl, P. Payne, Martin G. Seneviratne, P. Gamble, C. Kelly, Nathaneal Scharli, A. Chowdhery, P. A. Mansfield, B. A. Y. Arcas, D. Webster, Greg S. Corrado, Yossi Matias, K. Chou, Juraj Gottweis, Nenad Tomašev, Yun Liu, A. Rajkomar, J. Barral, Christopher Semturs, A. Karthikesalingam, Vivek Natarajan   +29 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, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu   +5 more
semanticscholar   +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
semanticscholar   +1 more source

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, Allison Bailey, Maxim V. Kuleshov, Daniel J. B. Clarke, J. E. Evangelista, Sherry L. Jenkins, Alexander Lachmann, Megan L. Wojciechowicz, Eryk Kropiwnicki, Kathleen M. Jagodnik, Minji Jeon, Avi Ma’ayan   +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, Shirui Pan, E. Cambria, Pekka Marttinen, Philip S. Yu   +4 more
semanticscholar   +1 more source

Knowledge Graphs [PDF]

ACM Computing Surveys, 2020
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. After
Aidan Hogan, E. Blomqvist, Michael Cochez, C. d'Amato, Gerard de Melo, C. Gutierrez, J. E. L. Gayo, S. Kirrane, S. Neumaier, A. Polleres, Roberto Navigli, Axel-Cyrille Ngonga Ngomo, S. M. Rashid, Anisa Rula, Lukas Schmelzeisen, Juan Sequeda, Steffen Staab, Antoine Zimmermann   +17 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, Tim Rocktäschel, Patrick Lewis, A. Bakhtin, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel   +6 more
semanticscholar   +1 more source

Decoupled Knowledge Distillation [PDF]

Computer Vision and Pattern Recognition, 2022
State-of-the-art distillation methods are mainly based on distilling deep features from intermediate layers, while the significance of logit distillation is greatly overlooked. To provide a novel viewpoint to study logit distillation, we re-formulate the
Borui Zhao, Quan Cui, Renjie Song, Yiyu Qiu, Jiajun Liang   +4 more
semanticscholar   +1 more source

UniProt: a worldwide hub of protein knowledge

Nucleic Acids Res., 2018
The UniProt Knowledgebase is a collection of sequences and annotations for over 120 million proteins across all branches of life. Detailed annotations extracted from the literature by expert curators have been collected for over half a million of these ...
Tunca Dogan
semanticscholar   +1 more source

Evaluating South Africa’s market risk using asymmetric power auto-regressive conditional heteroscedastic model under heavy-tailed distributions

Journal of Economic and Financial Sciences, 2019
Orientation: Value-at-risk (VAR) and other risk management tools, such as expected shortfall (conditional VAR), are heavily reliant on a suitable set of underlying distributional conjecture.
Retius Chifurira, Knowledge Chinhamu
doaj   +1 more source