The List / RAG, Search, and Knowledge Systems / paper
Multimodal retrieval-augmented generation for financial documents: image-centric analysis of charts and tables with large language models
Curator notes
Discovery status: round2_promoted. Source links: Advancing Financial Engineering with Foundation Models: Progress, Applications, and Challenges; Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models; FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models; Financial Report Chunking for Effective Retrieval Augmented Generation; InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning