Results 21 to 30 of about 248,393 (200)
Paraphrastic language models [PDF]
Interspeech 2012, 2012 Natural languages are known for their expressive richness. Many sentences can be used to represent the same underlying meaning. Only modelling the observed surface word sequence can result in poor context coverage and generalization, for example, when using n-gram language models (LMs).
Liu, X, Gales, MJF, Woodland, PC
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Modeling Language Evolution [PDF]
Foundations of Computational Mathematics, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Felipe Cucker +2 more
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Verbalization of evaluation in prose and dramatic genres
Вісник Харківського національного університету імені В. Н. Каразіна. Серія Філологія. Vìsnik Harkìvsʹkogo nacìonalʹnogo unìversitetu ìmenì V.N. Karazìna. Serìâ Fìlologìâ., 2021 The article deals with the study of the peculiarities of linguistic expression of the category of assessment, which as a universal language category operating at different language levels, plays an important role in the choice of native speakers and ...
Tetiana Sukalenko
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TouchStone: Evaluating Vision-Language Models by Language Models
CoRR, 2023 Large vision-language models (LVLMs) have recently witnessed rapid advancements, exhibiting a remarkable capacity for perceiving, understanding, and processing visual information by connecting visual receptor with large language models (LLMs). However, current assessments mainly focus on recognizing and reasoning abilities, lacking direct evaluation of
Shuai Bai +8 more
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Neural Language Modeling for Molecule Generation
, 2021 Generative neural networks have shown promising results in de novo drug design. Recent studies suggest that one of the efficient ways to produce novel molecules matching target properties is to model SMILES sequences using deep learning in a way similar ...
Sanjar, Adilov
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Understanding Social Reasoning in Language Models with Language Models
Advances in Neural Information Processing Systems 36, 2023 As Large Language Models (LLMs) become increasingly integrated into our everyday lives, understanding their ability to comprehend human mental states becomes critical for ensuring effective interactions. However, despite the recent attempts to assess the Theory-of-Mind (ToM) reasoning capabilities of LLMs, the degree to which these models can align ...
Kanishk Gandhi +3 more
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Deriving Language Models from Masked Language Models
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023 Masked language models (MLM) do not explicitly define a distribution over language, i.e., they are not language models per se. However, recent work has implicitly treated them as such for the purposes of generation and scoring. This paper studies methods for deriving explicit joint distributions from MLMs, focusing on distributions over two tokens ...
Lucas Torroba Hennigen, Yoon Kim
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Analysis of Morph-Based Language Modeling and Speech Recognition in Slovak
Advances in Electrical and Electronic Engineering, 2012 The inflection of the Slovak language causes a large number of unique word forms, which produces not only a large vocabulary, but also a number of out-of-vocabulary words.
Jan Stas +3 more
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Text Data Augmentation for the Korean Language
Applied Sciences, 2022 Data augmentation (DA) is a universal technique to reduce overfitting and improve the robustness of machine learning models by increasing the quantity and variety of the training dataset.
Dang Thanh Vu +3 more
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The Holland broadcast language and the modeling of biochemical networks [PDF]
, 2007 The Broadcast Language is a programming formalism devised by Holland in 1975, which aims at improving the efficiency of Genetic Algorithms (GAs) during long-term evolution.
Ciaran Kelly +7 more
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