Results 11 to 20 of about 27,529,067 (324)
Confident Adaptive Language Modeling [PDF]
Neural Information Processing Systems, 2022 Recent advances in Transformer-based large language models (LLMs) have led to significant performance improvements across many tasks. These gains come with a drastic increase in the models' size, potentially leading to slow and costly use at inference ...
Tal Schuster +7 more
semanticscholar +1 more source
Model-Driven Architectural Framework towards Safe and Secure Nuclear Power Reactors
Sensors, 2021 Sensor-based digital systems for Instrumentation and Control (I&C) of nuclear reactors are quite complex in terms of architecture and functionalities.
Bassem Ouni +3 more
doaj +1 more source
Privacy Threat MOdeling Language
IEEE Access, 2023 Online Social Networks (OSNs) are becoming pervasive in today’s world. Millions of people worldwide are involved in different forms of online networking. However, this ease of use of OSNs comes with a cost in terms of privacy. Users of OSNs become
Andrey Rodrigues +2 more
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NorMAS-ML: Supporting the Modeling of Normative Multi-agent Systems
Advances in Distributed Computing and Artificial Intelligence Journal, 2020 Context: A normative multi-agent system (NMAS) is composed of agents that their behavior is regulated by norms. The modeling of those elements (agents and norms) together at design time can be a good way for a complete understanding of their structure ...
Emmanuel Savio Silva FREIRE +4 more
doaj +1 more source
Review of Deep Learning for Language Modeling [PDF]
Nongye tushu qingbao xuebao, 2023 [Purpose/Significance] Deep learning for language modeling is one of the major methods and advanced technologies to enhance language intelligence of machines at present, which has become an indispensable important technical means for automatic processing
WANG Sili, ZHANG Ling, YANG Heng, LIU Wei
doaj +1 more source
Definitions, 2020 A non-proprietary, third generation modelling language. T he Unified Modeling Language is an open method used to specify, visualise, construct and document the artifacts of an object-oriented software-intensive system under development.
P. Maggi +3 more
semanticscholar +1 more source
We're Afraid Language Models Aren't Modeling Ambiguity [PDF]
Conference on Empirical Methods in Natural Language Processing, 2023 Ambiguity is an intrinsic feature of natural language. Managing ambiguity is a key part of human language understanding, allowing us to anticipate misunderstanding as communicators and revise our interpretations as listeners. As language models (LMs) are
Alisa Liu +8 more
semanticscholar +1 more source
Applying the language acquisition model to the solution small language processing tasks
Informatika, 2022 The problem of building a computer model of a small language was under solution. The relevance of this task is due to the following considerations: the need to eliminate the information inequality between speakers of different languages; the need for new
Dz. I. Kachkou
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Modeling and Simulation of Spacecraft Power System Based on Modelica [PDF]
E3S Web of Conferences, 2021 Spacecraft power system simulation involves the coupling of electrical, thermal and control domains. At present, the modeling and simulation of multi-domain physical system mainly uses the single-domain software to establish a single-domain model, and ...
Wang Haosheng, Zhong Hongen
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Modeling Language Evolution [PDF]
Foundations of Computational Mathematics, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Cucker, Felipe +2 more
openaire +1 more source