Results 321 to 330 of about 4,358,730 (353)
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Money, Language, and Thought

, 2023
In Money, Language, and Thought, Marc Shell explores the interactions between linguistic and economic production as they inform discourse from Chretien de Troyes to Heidegger.
M. Shell
semanticscholar   +1 more source

Social media as a language learning environment: a systematic review of the literature (2008-2019)

Computer Assisted Language Learning, 2021
This review maps the scientific literature on social media as a language learning environment published between 2008 and 2019. Over 1,600 journals from the Scopus database were surveyed and 396 documents were analyzed using bibliometric analysis.
J. Barrot
semanticscholar   +1 more source

Natural language processing (NLP) in management research: A literature review

Journal of Management Analytics, 2020
Natural language processing (NLP) is gaining momentum in management research for its ability to automatically analyze and comprehend human language.
Yue Kang   +4 more
semanticscholar   +1 more source

Large Language Models for Cyber Security: A Systematic Literature Review

ACM Transactions on Software Engineering and Methodology
The rapid advancement of Large Language Models (LLMs) has opened up new opportunities for leveraging artificial intelligence in a variety of application domains, including cybersecurity. As the volume and sophistication of cyber threats continue to grow,
Hanxiang Xu   +8 more
semanticscholar   +1 more source

Research trends in language MOOC studies: a systematic review of the published literature (2012-2018)

Computer Assisted Language Learning, 2020
This study aims to explore the current published research on Language Massive Open Online Courses (LMOOCs), outlining the types of papers, countries where studies were performed and institutions devoted to this field.
Marwan H. Sallam   +2 more
semanticscholar   +1 more source

A Literature Survey on Open Source Large Language Models

International Conferences on Computers in Management and Business
Since the 1950s, post the Turing test, humans have been striving hard to make machines learn the art of mastering linguistic intelligence. Language being a complex and intricate tool of expression used by humans, poses a large number of challenges for AI
Sanjay Kukreja   +4 more
semanticscholar   +1 more source

A Survey on Large Language Models for Code Generation

arXiv.org
Large Language Models (LLMs) have garnered remarkable advancements across diverse code-related tasks, known as Code LLMs, particularly in code generation that generates source code with LLM from natural language descriptions.
Juyong Jiang   +4 more
semanticscholar   +1 more source

A Survey on Mixture of Experts in Large Language Models

IEEE Transactions on Knowledge and Data Engineering
Large language models (LLMs) have garnered unprecedented advancements across diverse fields, ranging from natural language processing to computer vision and beyond. The prowess of LLMs is underpinned by their substantial model size, extensive and diverse
Weilin Cai   +5 more
semanticscholar   +1 more source

Leveraging the Benefits of ICT Usage in Teaching of English Language and Literature

Smart Intelligent Computing and Applications, 2019
Arunima Dash, Khushboo Kuddus
semanticscholar   +1 more source

Large language models in medicine

Nature Medicine, 2023
Arun James Thirunavukarasu
exaly  

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