Lius: Translation Model Based Instructional Lingustic Using Continual Instruction Tuning In Kupang Malay
Researchers have developed a new translation model named Lius, specifically designed to improve translation for low-resource languages like Kupang Malay. The model utilizes a novel Continual Instruction Tuning (CIT) method, which iteratively trains the model with various instruction types. This approach significantly outperforms standard instruction-tuned models and existing Neural Machine Translation (NMT) and multilingual LLM models, demonstrating a promising way to overcome the limitations of scarce parallel data. AI
IMPACT Enhances translation capabilities for underrepresented languages, potentially enabling wider access to information and communication.