The notion that standard single-language fine-tuning does not afford much robustness when models are deployed across languages, especially in the EN → AR direction is supported, providing impetus for further research into new methods for adapting LLMs across multiple languages.
The proposed approach uses a novel training-free, age-conditioned face synthesis technique based on geometrically guided W-space traversal of StyleGAN2, enabling the disentangled generation of synthetic faces across target age groups, and consistently improves predictions for underrepresented age groups.
Qaiser Abbas, Muhammad Farooq, Tanvir Alam· Scientific Reports· 0 citations
The proposed framework, UMAP-ERG, will advance the current status quo for ASD detection and enable the ophthalmologists, neuro-ophthalmologists, electrophysiologists, etc., to utilize AI-enabled decision-making process.
M. Anwar, M. T. Islam, Tanvir Alam· Scientific Reports· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.