27 citations · 105 across the 20 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2023★ 1 cited
CORE-GPT: Combining Open Access research and large language models for credible, trustworthy question answering
David Pride, Matteo Cancellieri, Petr Knoth
In this paper, we present CORE-GPT, a novel question-answering platform that combines GPT-based language models and more than 32 million full-text open access scientific articles f…
cs.CL2022★ 5 cited
Confidence estimation of classification based on the distribution of the neural network output layer
Abdel Aziz Taha, Leonhard Hennig, Petr Knoth
One of the most common problems preventing the application of prediction models in the real world is lack of generalization: The accuracy of models, measured in the benchmark does…