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Found 4 papers, 1 papers with code
ViLLM-Eval: A Comprehensive Evaluation Suite for Vietnamese Large Language Models
The rapid advancement of large language models (LLMs) necessitates the development of new benchmarks to accurately assess their capabilities.
An Experimental Investigation of Part-Of-Speech Taggers for Vietnamese
We also design a new feature set to measure the performance of the statistical taggers.
A Comparative Study of Neural Network Models for Sentence Classification
This paper presents an extensive comparative study of four neural network models, including feed-forward networks, convolutional networks, recurrent networks and long short-term memory networks, on two sentence classification datasets of English and Vietnamese text.
A hybrid approach to Vietnamese word segmentation
Word segmentation is the very first task for Vietnamese language processing.
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