We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources …

Large language models (LLMs) have been shown to be able to perform new tasks based on
a few demonstrations or natural language instructions. While these capabilities have led to …

As language models grow ever larger, the need for large-scale high-quality text datasets has
never been more pressing, especially in multilingual settings. The BigScience workshop, a 1 …

Foundation model development attracts a rapidly expanding body of contributors, scientists,
and applications. To help shape responsible development practices, we introduce the …

NLP research is impeded by a lack of resources and awareness of the challenges presented
by underrepresented languages and dialects. Focusing on the languages spoken in …

Conversational systems have recently garnered increased attention due to advancements in
Large Language Models (LLMs) and Language Models for Dialogue Applications (LaMDA) …

In recent years, large-scale data collection efforts have prioritized the amount of data
collected in order to improve the modeling capabilities of large language models. This …

Sentiment analysis becomes an essential part of every social network, as it enables decision-
makers to know more about users' opinions in almost all life aspects. Despite its importance …

The detection of toxic language in the Arabic language has emerged as an active area of
research in recent years, and reviewing the existing datasets employed for training the …

The detection of toxic language in the Arabic language has emerged as an active area of
research in recent years, and reviewing the existing datasets employed for training the …