With the continuous growth in the number of parameters of transformer-based pretrained
language models (PLMs), particularly the emergence of large language models (LLMs) with …

Large, pre-trained language models (PLMs) such as BERT and GPT have drastically
changed the Natural Language Processing (NLP) field. For numerous NLP tasks …

Ever since the Turing Test was proposed in the 1950s, humans have explored the mastering
of language intelligence by machine. Language is essentially a complex, intricate system of …

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

While generative models produce high-quality images of concepts learned from a large-
scale database, a user often wishes to synthesize instantiations of their own concepts (for …

Large language models (LLMs) have demonstrated great capabilities in various natural
language understanding and generation tasks. These pre-trained LLMs can be further …

The success of large language models (LLMs), like GPT-4 and ChatGPT, has led to the
development of numerous cost-effective and accessible alternatives that are created by …

What does it take to create the Babel Fish, a tool that can help individuals translate speech
between any two languages? While recent breakthroughs in text-based models have …

In this work, we explore" prompt tuning", a simple yet effective mechanism for learning" soft
prompts" to condition frozen language models to perform specific downstream tasks. Unlike …

Advancements in artificial intelligence are rapidly increasing. The new‐generation large
language models, such as ChatGPT and GPT‐4, bear the potential to transform educational …