Results 11 to 20 of about 16,010,491 (260)

From Large Language Models to Large Multimodal Models: A Literature Review

Applied Sciences
With the deepening of research on Large Language Models (LLMs), significant progress has been made in recent years on the development of Large Multimodal Models (LMMs), which are gradually moving toward Artificial General Intelligence. This paper aims to
Dawei Huang, Chuan Yan, Qing Li, Xiaojiang Peng   +3 more
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Knowledge Engineering Using Large Language Models [PDF]

Transactions on Graph Data and Knowledge, 2023
Knowledge engineering is a discipline that focuses on the creation and maintenance of processes that generate and apply knowledge. Traditionally, knowledge engineering approaches have focused on knowledge expressed in formal languages.
Allen, Bradley P., Stork, Lise, Groth, Paul   +2 more
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Large Language Models are Not Models of Natural Language: They are Corpus Models

IEEE Access, 2022
Natural Language Processing (NLP) has become one of the leading application areas in the current Artificial Intelligence boom. Transfer learning has enabled large deep learning neural networks trained on the language modeling task to vastly improve ...
Csaba Veres
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OffensEval 2023: Offensive language identification in the age of Large Language Models [PDF]

, 2023
The OffensEval shared tasks organized as part of SemEval-2019–2020 were very popular, attracting over 1300 participating teams. The two editions of the shared task helped advance the state of the art in offensive language identification by providing the ...
Ranasinghe, Tharindu, Nakov, Preslav, Zampieri, Marcos, Dmonte, Alphaeus, Rosenthal, Sara   +4 more
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Can large language models write reflectively

Computers and Education: Artificial Intelligence, 2023
Generative Large Language Models (LLMs) demonstrate impressive results in different writing tasks and have already attracted much attention from researchers and practitioners. However, there is limited research to investigate the capability of generative
Yuheng Li, Lele Sha, Lixiang Yan, Jionghao Lin, Mladen Raković, Kirsten Galbraith, Kayley Lyons, Dragan Gašević, Guanliang Chen   +8 more
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Leveraging Computational Psychometrics for Language Testing [PDF]

, 2023
The recent surge in the popularity of Large Language Models (LLM) for language assessment underscores the growing significance of cost-effective language evaluation in our increasingly digitalized society.
Ardeshir Geranpayeh
core   +1 more source

Large Language Models and Logical Reasoning

Encyclopedia, 2023
In deep learning, large language models are typically trained on data from a corpus as representative of current knowledge. However, natural language is not an ideal form for the reliable communication of concepts.
Robert Friedman
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Emotional intelligence of Large Language Models

Journal of Pacific Rim Psychology, 2023
Large Language Models (LLMs) have demonstrated remarkable abilities across numerous disciplines, primarily assessed through tasks in language generation, knowledge utilization, and complex reasoning.
Xuena Wang, Xueting Li, Zi Yin, Yue Wu, Jia Liu   +4 more
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Large language models and political science

Frontiers in Political Science, 2023
Large Language Models (LLMs) are a type of artificial intelligence that uses information from very large datasets to model the use of language and generate content.
Mitchell Linegar, Rafal Kocielnik, R. Michael Alvarez, R. Michael Alvarez   +3 more
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Consistent Responses to Paraphrased Questions as Evidence Against Hallucination: A Study on Hallucinations in LLMs [PDF]

International Journal of Web Research
The increasing adoption of large language models (LLMs) has intensified concerns about hallucinations—outputs that are syntactically fluent but factually incorrect.
Tara Zare, Mehrnoush Shamsfard
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