The emergence of large language models (LLMs) has marked a significant breakthrough in
natural language processing (NLP), fueling a paradigm shift in information acquisition …

Large language models (LLMs) have demonstrated impressive capabilities in natural
language processing. However, their internal mechanisms are still unclear and this lack of …

Large language models (LLMs) may not equitably represent diverse global perspectives on
societal issues. In this paper, we develop a quantitative framework to evaluate whose …

With the rapid advancements of large language models (LLMs), information retrieval (IR)
systems, such as search engines and recommender systems, have undergone a significant …

The recent advancements in Large Language Models (LLMs) have garnered widespread
acclaim for their remarkable emerging capabilities. However, the issue of hallucination has …

With the rapid advancement of large language models (LLMs), information retrieval (IR)
systems, such as search engines and recommender systems, have undergone a significant …

In recent years, the pre-training of Large Language Models (LLMs) in the educational
domain has garnered significant attention. However, a discernible gap exists in the …

Hallucination is a significant barrier to the utilization of large-scale language models or
multimodal models. In this study, we collected 654 computer science papers with" …

Large Language Models (LLMs) trained with self-supervision on vast corpora of web text fit
to the social biases of that text. Without intervention, these social biases persist in the …

Large-scale deployment of large language models (LLMs) in various applications, such as
chatbots and virtual assistants, requires LLMs to be culturally sensitive to the user to ensure …