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cs.CL2024
Domain-adaptative Continual Learning for Low-resource Tasks: Evaluation on Nepali
Sharad Duwal, Suraj Prasai, Suresh Manandhar
Continual learning has emerged as an important research direction due to the infeasibility of retraining large language models (LLMs) from scratch in the event of new data availabi…
cs.CL2024★ 4 cited
INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
Angelika Romanou, Negar Foroutan, Anna Sotnikova +56
The performance differential of large language models (LLM) between languages hinders their effective deployment in many regions, inhibiting the potential economic and societal val…