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How do Large Language Models Handle Multilingualism?

Neural Information Processing Systems
Large language models (LLMs) have demonstrated impressive capabilities across diverse languages. This study explores how LLMs handle multilingualism. Based on observed language ratio shifts among layers and the relationships between network structures ...
Yiran Zhao   +4 more
semanticscholar   +1 more source

Visual Query Languages

2011
The social web is becoming increasingly popular and important, because it creates the collective intelligence, which can produce more value than the sum of individuals. The social web uses the Semantic Web technology RDF to describe the social data in a machine-readable way.
openaire   +1 more source

Large language models in medicine

Nature Medicine, 2023
Arun James Thirunavukarasu
exaly  

Query Language

2022
Lukas Jungmann   +3 more
openaire   +1 more source

Embedding-based Query Language Models

International Conference on the Theory of Information Retrieval, 2016
Hamed Zamani, W. Bruce Croft
semanticscholar   +1 more source

PGQL: a property graph query language

International Workshop on Graph Data Management Experiences and Systems, 2016
O. V. Rest   +4 more
semanticscholar   +1 more source

Query Language

2009
Mike Keith, Merrick Schincariol
openaire   +2 more sources

Survey of Hallucination in Natural Language Generation

ACM Computing Surveys, 2023
Ziwei Ji
exaly  

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