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Found 4 papers, 1 papers with code
An Ensemble Method Based on the Combination of Transformers with Convolutional Neural Networks to Detect Artificially Generated Text
Thanks to the state-of-the-art Large Language Models (LLMs), language generation has reached outstanding levels.
A Benchmark Corpus for the Detection of Automatically Generated Text in Academic Publications
We evaluate the quality of the datasets comparing the generated texts to aligned original texts using fluency metrics such as BLEU and ROUGE.
Multi-lingual Mathematical Word Problem Generation using Long Short Term Memory Networks with Enhanced Input Features
A Mathematical Word Problem (MWP) differs from a general textual representation due to the fact that it is comprised of numerical quantities and units, in addition to text.
A Multi-language Platform for Generating Algebraic Mathematical Word Problems
Existing approaches for automatically generating mathematical word problems are deprived of customizability and creativity due to the inherent nature of template-based mechanisms they employ.
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