Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

Existing approaches to estimating politicians' latent positions along specific dimensions
often fail when relevant data is limited. We leverage the embedded knowledge in generative …

We ask whether multilingual language models trained on unbalanced, English-dominated
corpora use English as an internal pivot language--a question of key importance for …

Multilingual Large Language Models are capable of using powerful Large Language
Models to handle and respond to queries in multiple languages, which achieves remarkable …

The rapid development of Large Language Models (LLMs) demonstrates remarkable
multilingual capabilities in natural language processing, attracting global attention in both …

As the capabilities of Large Language Models (LLMs) emerge, they not only assist in
accomplishing traditional tasks within more efficient paradigms but also stimulate the …

The training process of Large Language Models (LLMs) requires extensive text corpus.
However, these data are often unevenly distributed in different languages. As a result, LLMs …

The success of Large Language Models (LLMs) in multicultural environments hinges on
their ability to understand users' diverse cultural backgrounds. We measure this capability by …

Abstract The introduction of Artificial Intelligence (AI) generative language models such as
GPT (Generative Pre-trained Transformer) and conversational tools such as ChatGPT has …

Prior research has revealed that certain abstract concepts are linearly represented as
directions in the representation space of LLMs, predominantly centered around English. In …