Xingxin Leng

Nov 19, 2024 | mdpi.com | Xiaoyong Zhao |Lei Wang |Ningning Wang |Xingxin Leng

1. IntroductionLLMs [1] have recently emerged as a key force in driving advancements in NLP [2] within artificial intelligence (AI) and machine learning (ML) research. These models excel in a variety of language tasks, including text generation, translation, and question-answering systems [3]. However, despite their strong performance across many applications, they encounter challenges when processing certain data types, particularly tabular data.