2 papers
cs.CL2025
Exploring NLP Benchmarks in an Extremely Low-Resource Setting
Ulin Nuha, Adam Jatowt
The effectiveness of Large Language Models (LLMs) diminishes for extremely low-resource languages, such as indigenous languages, primarily due to the lack of labeled data. Despite…
cs.AI2024
Conditional Semi-Supervised Data Augmentation for Spam Message Detection with Low Resource Data
Ulin Nuha, Chih-Hsueh Lin
Several machine learning schemes have attempted to perform the detection of spam messages. However, those schemes mostly require a huge amount of labeled data. The existing techniq…