Recent years have witnessed a substantial increase in the use of deep learning to solve
various natural language processing (NLP) problems. Early deep learning models were …

Abstract Large Language Models (LLMs) have recently gained significant attention due to
their remarkable capabilities in performing diverse tasks across various domains. However …

The use of retrieval-augmented generation (RAG) to retrieve relevant information from an
external knowledge source enables large language models (LLMs) to answer questions …

The development of large language models (LLMs) such as ChatGPT has brought a lot of
attention recently. However, their evaluation in the benchmark academic datasets remains …

Abstract Recently, Large Language Models (LLMs) have demonstrated impressive
capability to solve a wide range of tasks. However, despite their success across various …

Pretrained language models have served as important backbones for natural language
processing. Recently, in-domain pretraining has been shown to benefit various domain …

Mental health research through data-driven methods has been hindered by a lack of
standard typology and scarcity of adequate data. In this study, we leverage the clinical …

This paper studies how to effectively build meeting summarization systems for real-world
usage using large language models (LLMs). For this purpose, we conduct an extensive …

ChatGPT is a large language model developed by OpenAI. Despite its impressive
performance across various tasks, no prior work has investigated its capability in the …

Abstract Domain adaptation transfers knowledge from the source domain to the target
domain. The existing methods reduce the domain discrepancy by aligning domain …