Large language models (LLMs), exemplified by ChatGPT, have gained considerable
attention for their excellent natural language processing capabilities. Nonetheless, these …

Large language models (LLMs) have gained considerable attention for their excellent
natural language processing capabilities. Nonetheless, these LLMs present many …

Large Language Models (LLMs) have demonstrated remarkable success across various
domains. However, despite their promising performance in numerous real-world …

Large language models have become popular over a short period of time because they can
generate text that resembles human writing across various domains and tasks. The …

Large Language Models (LLMs) are increasingly adopted in educational contexts to provide
personalized support to students and teachers. The unprecedented capacity of LLM-based …

Large Language Models (LLMs), now used daily by millions of users, can encode societal
biases, exposing their users to representational harms. A large body of scholarship on LLM …

Large language models (LLMs) are increasingly capable of providing users with advice in a
wide range of professional domains, including legal advice. However, relying on LLMs for …

Large Language Models (LLMs) have demonstrated remarkable success across various
domains but often lack fairness considerations, potentially leading to discriminatory …

Rapid advancements of large language models (LLMs) have enabled the processing,
understanding, and generation of human-like text, with increasing integration into systems …

The common toxicity and societal bias in contents generated by large language models
(LLMs) necessitate strategies to reduce harm. Present solutions often demand white-box …