FIN2SUM: Advancing AI-Driven Financial Text Summarization with LLMs
- Title
- FIN2SUM: Advancing AI-Driven Financial Text Summarization with LLMs
- Creator
- Wilson E.; Saxena A.; Mahajan J.; Panikulangara L.; Kulkarni S.; Jain P.
- Description
- In the modern financial sector, the rapid digitalization of financial reports necessitates efficient and reliable text summarization tools. This research introduces FIN2SUM, a novel framework designed for summarizing the managerial analysis and discussion sections of 10-K reports from top NASDAQ-listed companies. The study aims to evaluate Large Language Models (LLMs) in financial text summarization, highlighting LLAMA-2's adeptness in processing complex financial information, thus making FIN2SUM a vital tool for analysts and decision-makers. The methodology includes a thorough evaluation of three state-of-the-art LLMs - LLAMA-2, FLAN, and Claude 2 - using BERT and ROUGE scores. The research concludes that FIN2SUM, enhanced by LLAMA-2, significantly advances AI-driven financial text summarization. 2024 IEEE.
- Source
- TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- 10-K Reports Summarization; AI in Financial Analysis; AI-Driven Decision Making; BERT and ROUGE Metrics; FIN2SUM Framework; Financial Data Processing; Financial Reporting Automation; Financial Text Summarization; Large Language Models (LLMs); LLAMA-2 and Financial Data; Semantic Similarity Analysis
- Coverage
- Wilson E., Christ University, Bengaluru, India; Saxena A., Christ University, Bengaluru, India; Mahajan J., Christ University, Bengaluru, India; Panikulangara L., Synechron, India; Kulkarni S., Ibm, India; Jain P., Christ University, Bengaluru, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835038427-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Wilson E.; Saxena A.; Mahajan J.; Panikulangara L.; Kulkarni S.; Jain P., “FIN2SUM: Advancing AI-Driven Financial Text Summarization with LLMs,” CHRIST (Deemed To Be University) Institutional Repository, accessed April 20, 2025, https://archives.christuniversity.in/items/show/19215.