Results 1 to 10 of about 27,529,067 (324)

Large language models empowered agent-based modeling and simulation: a survey and perspectives [PDF]

open access: yesHumanities & Social Sciences Communications, 2023
Agent-based modeling and simulation have evolved as a powerful tool for modeling complex systems, offering insights into emergent behaviors and interactions among diverse agents.
Chen Gao   +7 more
doaj   +2 more sources

Modeling language shift. [PDF]

open access: yesProc Natl Acad Sci U S A, 2017
Languages behave similarly to living species. They display diversity, differentiate in space and time, emerge and disappear. While processes of differentiation happen at a relatively slow rate with a typical timescale of the order of 1,000 years to evolve into different languages, language extinction takes place at a substantially faster rate.
Kandler A, Steele J.
europepmc   +6 more sources

AudioLM: A Language Modeling Approach to Audio Generation [PDF]

open access: yesIEEE/ACM Transactions on Audio Speech and Language Processing, 2022
We introduce AudioLM, a framework for high-quality audio generation with long-term consistency. AudioLM maps the input audio to a sequence of discrete tokens and casts audio generation as a language modeling task in this representation space. We show how
Zalán Borsos   +10 more
semanticscholar   +1 more source

Multi-sense Language Modelling [PDF]

open access: yesProceedings of the Workshop on Dimensions of Meaning: Distributional and Curated Semantics (DistCurate 2022), 2022
The effectiveness of a language model is influenced by its token representations, which must encode contextual information and handle the same word form having a plurality of meanings (polysemy). Currently, none of the common language modelling architectures explicitly model polysemy.
Lekkas, Andrea   +2 more
openaire   +4 more sources

Hungry Hungry Hippos: Towards Language Modeling with State Space Models [PDF]

open access: yesInternational Conference on Learning Representations, 2022
State space models (SSMs) have demonstrated state-of-the-art sequence modeling performance in some modalities, but underperform attention in language modeling.
Tri Dao   +5 more
semanticscholar   +1 more source

Towards a Quantum Software Modeling Language [PDF]

open access: yesInternational Conference on Software Engineering, 2020
We set down the principles behind a modeling language for quantum software. We present a minimal set of extensions to the well-known Unified Modeling Language (UML) that allows it to effectively model quantum software.
Carlos A. Pérez-Delgado   +1 more
semanticscholar   +1 more source

Language Modeling Is Compression [PDF]

open access: yesInternational Conference on Learning Representations, 2023
It has long been established that predictive models can be transformed into lossless compressors and vice versa. Incidentally, in recent years, the machine learning community has focused on training increasingly large and powerful self-supervised ...
Gr'egoire Del'etang   +11 more
semanticscholar   +1 more source

On Generative Spoken Language Modeling from Raw Audio [PDF]

open access: yesTransactions of the Association for Computational Linguistics, 2021
We introduce Generative Spoken Language Modeling, the task of learning the acoustic and linguistic characteristics of a language from raw audio (no text, no labels), and a set of metrics to automatically evaluate the learned representations at acoustic ...
Kushal Lakhotia   +10 more
semanticscholar   +1 more source

Domain Model Based Design of Business Process Architectures

open access: yesApplied Sciences, 2022
A business process architecture (BPA) model depicts business processes in an organization and their relations. An artifact for generating BPA models is proposed as the outcome of a design science research project.
Fernanda Gonzalez-Lopez   +3 more
doaj   +1 more source

JuMP: A Modeling Language for Mathematical Optimization [PDF]

open access: yesSIAM Review, 2015
JuMP is an open-source modeling language that allows users to express a wide range of optimization problems (linear, mixed-integer, quadratic, conic-quadratic, semidefinite, and nonlinear) in a high-level, algebraic syntax.
Iain Dunning, Joey Huchette, Miles Lubin
semanticscholar   +1 more source

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