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cs.CL2024
Together We Can: Multilingual Automatic Post-Editing for Low-Resource Languages
Sourabh Deoghare, Diptesh Kanojia, Pushpak Bhattacharyya
This exploratory study investigates the potential of multilingual Automatic Post-Editing (APE) systems to enhance the quality of machine translations for low-resource Indo-Aryan la…
cs.LG2024★ 1 cited
Material Microstructure Design Using VAE-Regression with Multimodal Prior
Avadhut Sardeshmukh, Sreedhar Reddy, BP Gautham +1
We propose a variational autoencoder (VAE)-based model for building forward and inverse structure-property linkages, a problem of paramount importance in computational materials sc…