Results 61 to 70 of about 248,393 (200)

Two-Level Modeling [PDF]

, 1999
Experience on a large banking application has highlighted expressive weaknesses in the standard (concrete) syntax of UML, resulting in models that are under-constrained.
Lauder, Anthony, Kent, Stuart
core   +1 more source

Language Model Cascades

CoRR, 2022
Prompted models have demonstrated impressive few-shot learning abilities. Repeated interactions at test-time with a single model, or the composition of multiple models together, further expands capabilities. These compositions are probabilistic models, and may be expressed in the language of graphical models with random variables whose values are ...
David Dohan, Winnie Xu, Aitor Lewkowycz, Jacob Austin, David Bieber, Raphael Gontijo Lopes, Yuhuai Wu, Henryk Michalewski, Rif A. Saurous, Jascha Sohl-Dickstein, Kevin Murphy 0002, Charles Sutton   +11 more
openaire   +2 more sources

Empowering minority voices: how inclusive teaching and support foster multicultural learning

Frontiers in Education
IntroductionInclusive education requires not only systemic change but also direct attention to the classroom experiences of minority students. This study investigates how instructional and emotional support from teachers influence minority students ...
Awal Mohammed Alhassan, Margrethe Hall Christensen, Ksenia Solheim, Beate Mellemsether   +3 more
doaj   +1 more source

Language Models Model Language

CoRR
Linguistic commentary on LLMs, heavily influenced by the theoretical frameworks of de Saussure and Chomsky, is often speculative and unproductive. Critics challenge whether LLMs can legitimately model language, citing the need for "deep structure" or "grounding" to achieve an idealized linguistic "competence." We argue for a radical shift in ...
openaire   +2 more sources

Event Modeling with the MODEL Language [PDF]

, 1997
Event modeling is an essential component of event correlation systems; this paper introduces the MODEL language, which comprises the event modeling component of SMARTS’ InChargeTM event correlation system. We demonstrate the features of the MODEL language through examples from the multimedia Quality of Service (QoS) domain.
Alain Mayer, Shmuel Kliger, David Ohsie, Shaula Yemini   +3 more
openaire   +1 more source

Modeling Architectural Patterns Using Architectural Primitives [PDF]

, 2005
Architectural patterns are a key point in architectural documentation. Regrettably, there is poor support for modeling architectural patterns, because the pattern elements are not directly matched by elements in modeling languages, and, at the same time,
Uwe Zdun, Zdun, Uwe, Zdun, Uwe,, Avgeriou, Paris; id_orcid, Avgeriou, Paris,, Paris Avgeriou, Avgeriou, Paris   +6 more
core   +1 more source

Acting on actuation

This volume presents a timely discussion on one of the most fundamental and yet elusive questions in historical linguistics: why do certain linguistic changes take place in some languages at specific times, but not in others, even under similar ...
De Smet, Hendrik; University of Leuven, Travis, Catherine, Inglese, Guglielmo; University of Torino, Pinget, Anne-France, Torres Cacoullos, Rena, Rosemeyer, Malte; Freie Universität Berlin, Moser, Anne-Marie, Hawkins, John A., Kauhanen, Henri, Filipović, Luna   +9 more
core   +7 more sources

Entropic evolution of lexical richness of homogeneous texts over time: A dynamic complexity perspective

Journal of Language Modelling, 2016
This work concerns the evolving pattern of the lexical richness of the corpus text of China Government Work Report measured by entropy, based on a fundamental assumption that these texts are linguistically homogeneous.
Yanhui Zhang
doaj   +1 more source

Language Models as Models of Language

CoRR
This chapter critically examines the potential contributions of modern language models to theoretical linguistics. Despite their focus on engineering goals, these models' ability to acquire sophisticated linguistic knowledge from mere exposure to data warrants a careful reassessment of their relevance to linguistic theory.
openaire   +2 more sources

Accelerating scientific discovery with generative knowledge extraction, graph-based representation, and multimodal intelligent graph reasoning

Machine Learning: Science and Technology
Leveraging generative Artificial Intelligence (AI), we have transformed a dataset comprising 1000 scientific papers focused on biological materials into a comprehensive ontological knowledge graph.
Markus J Buehler
doaj   +1 more source