Financial Regulation

Financial regulation research focuses on improving the accessibility and analysis of complex regulatory documents to ensure compliance and efficient oversight. Current efforts leverage natural language processing (NLP) techniques, including large language models (LLMs) and specialized architectures like the Reformer, to automate information retrieval, interpret regulatory text, and even translate regulations into actionable code. This work is significant for streamlining compliance processes within financial institutions and enhancing regulatory effectiveness, particularly in managing the challenges posed by rapidly evolving technologies like artificial intelligence in fintech.