Hate speech poses a significant threat to social harmony. Over the past two years, Indonesia
has seen a ten-fold increase in the online hate speech ratio, underscoring the urgent need …

Neural machine translation (NMT) for low-resource local languages in Indonesia faces
significant challenges, including the need for a representative benchmark and limited data …

Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly
in languages other than English and in underrepresented cultural contexts. To evaluate their …

Understanding the quality of a performance evaluation metric is crucial for ensuring that model
outputs align with human preferences. However, it remains unclear how well each metric …

Online hate speech propagation is a complex issue, deeply influenced by both the perpetrator
and the target’s cultural, historical, and societal contexts. Consequently, developing a …

Large Language Models (LLMs) demonstrate strong capability across multiple tasks,
including machine translation. Our study focuses on evaluating Llama2's machine translation …

This paper aims to show that the development of mental retardation appears due to conditions
of poverty in the village of Karangpatihan, Balong, Ponorogo, Indonesia. The cause of it …

We present MetaMetrics-MT, an innovative metric designed to evaluate machine translation
(MT) tasks by aligning closely with human preferences through Bayesian optimization with …

Southeast Asia (SEA) is a region rich in linguistic diversity and cultural variety, with over
1,300 indigenous languages and a population of 671 million people. However, prevailing AI …

Large Language Models (LLMs) demonstrate strong machine translation capabilities on
languages they are trained on. However, the impact of factors beyond training data size on …