Review of Language Models in the Financial Domain

This paper provides a comprehensive review of language models (LLMs) within the financial domain, elucidating their ascendancy, domain specialization capacities, and the diverse methods employed for their specialization. Through meticulous tabulation, we analyze the imperative need for domain-specific adaptations in the financial sector. Furthermore, we scrutinize instances of Large Language Models tailored explicitly for finance, shedding light on their unique features and contributions. This exploration not only surveys the evolving landscape of LLMs but also serves as a valuable resource for understanding their significance and application within the intricate domain of financial language processing.