Feb. 6, 2024, 5:54 a.m. | Jean Lee Nicholas Stevens Soyeon Caren Han Minseok Song

cs.CL updates on arXiv.org arxiv.org

Large Language Models (LLMs) have shown remarkable capabilities across a wide variety of Natural Language Processing (NLP) tasks and have attracted attention from multiple domains, including financial services. Despite the extensive research into general-domain LLMs, and their immense potential in finance, Financial LLM (FinLLM) research remains limited. This survey provides a comprehensive overview of FinLLMs, including their history, techniques, performance, and opportunities and challenges. Firstly, we present a chronological overview of general-domain Pre-trained Language Models (PLMs) through to current FinLLMs, …

attention capabilities cs.cl domain domains finance financial financial services general language language models language processing large language large language models llm llms multiple natural natural language natural language processing nlp processing q-fin.gn research services survey tasks

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