With the rapid growth of Arabic NLP, several models, datasets and benchmarks have been reported. This paper asks whether approaches developed for majority languages like English can be adapted to Arabic tasks. We adapt an English aspect-based sentiment analysis framework to Arabic classification tasks and present the a...
Ali Almutairi, Gelareh Mohammadi, Imran Razzak et al.· 0 citations
IndicKLAR, an Indic extension of the KLAR-CLC benchmark covering 18 of the 22 scheduled Indian languages, is introduced and a consistent flip point is observed between the transition from incorrect to correct prediction---between the native and code-mixed settings.
Debajyoti Mazumder, Divyanshu Pathak, P. Kodali et al.· arXiv.org· 0 citations
DiaLLM is introduced, which continually pretrains three open-weight language model families on the International Corpus of English and applies implicit and explicit post-training paradigms, each combined with three model alignment strategies, giving the first controlled comparison of these components across Australian,...
Jordan Painter, Dipankar Srirag, Adarsh Kappiyath et al.· arXiv.org· 1 citation· ⚡1
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