2024 Review of **Essential Literature** on Artificial Intelligence in the Financial FieldIn the past two years, with the rapid development of generative artificial intelligence (Generative AI) and large language models (LLMs) technology, cutting-edge research and applications in the financial field have also ushered in a new round of innovation. This article aims to summarize, sort out and display the representative **key academic papers** and **practical cases** in the intersection of quantitative finance and LLM in the past two years. Through a systematic introduction of historical evolution, methodological challenges, application scenarios and evaluation benchmarks, this review provides readers with a clear navigation map to help practitioners and researchers better understand and use LLM technology to promote innovation and change in the financial field.

2024 Review of Essential Literature on Artificial Intelligence in the Financial FieldIn the past two years, with the rapid development of generative artificial intelligence (Generative AI) and large language models (LLMs) technology, cutting-edge research and applications in the financial field have also ushered in a new round of innovation. This article aims to summarize, sort out and display the representative key academic papers and practical cases in the intersection of quantitative finance and LLM in the past two years. Through a systematic introduction of historical evolution, methodological challenges, application scenarios and evaluation benchmarks, this review provides readers with a clear navigation map to help practitioners and researchers better understand and use LLM technology to promote innovation and change in the financial field. Content directory 1. A brief history of the development of LLM 2. General application scenarios of LLM 3. Methodology, applications and challenges of FinLLMs 4. Panorama of Financial LLM 5. Table of contents of 48 key papers on Generative AI in the financial field - Financial forecasting, investment strategies and risk management - Sentiment analysis and text mining - Time series analysis and forecasting - LLM development (fine-tuning) and financial data integration - Evaluation and benchmarking of financial…