Abstract Language models serve as a cornerstone in natural language processing, utilizing
mathematical methods to generalize language laws and knowledge for prediction and …

Text summarization research has undergone several significant transformations with the
advent of deep neural networks, pre-trained language models (PLMs), and recent large …

Generative models are rapidly gaining popularity and being integrated into everyday
applications, raising concerns over their safe use as various vulnerabilities are exposed. In …

Recently, there has been a growing interest among large language model (LLM) developers
in LLM-based document reading systems, which enable users to upload their own …

Large Language Models (LLMs) have gained significant attention due to their high
performance on a wide range of natural language tasks since the release of ChatGPT. The …

Causal inference has been a pivotal challenge across diverse domains such as medicine
and economics, demanding a complicated integration of human knowledge, mathematical …

Natural Language Processing is revolutionizing the way legal professionals and laypersons
operate in the legal field. The considerable potential for Natural Language Processing in the …

Recent advances in Large Language Models (LLMs) have intensified the debate
surrounding the fundamental nature of their reasoning capabilities. While achieving high …

Uncertainty quantification approaches have been more critical in large language models
(LLMs), particularly high-risk applications requiring reliable outputs. However, traditional …

Abstract Context: Large Language Models (LLMs) have made remarkable advancements in
emulating human linguistic capabilities, showing potential also in executing various …