Using LLM extraction on 681 papers, the authors build a public knowledge graph showing financial NLP moved from LLM adoption to limitation-aware, modular system design between 2022 and 2025.
Sec-qa: A systematic evaluation corpus for financial qa
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LLM planning agent with dynamic KG state achieves 81.5% accuracy on 200 multi-hop questions from NuScale FSAR documents, outperforming non-planning RAG baselines by up to 38pp.
MimirRAG, a multi-agent RAG framework with metadata integration and table-aware chunking, reaches 89.3% accuracy on FinanceBench and outperforms prior baselines for financial document retrieval.
A survey synthesizing recent LLM research and assessing its applicability to financial data analysis.
citing papers explorer
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MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025)
Using LLM extraction on 681 papers, the authors build a public knowledge graph showing financial NLP moved from LLM adoption to limitation-aware, modular system design between 2022 and 2025.
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LLM-Guided Planning for Multi-hop Reasoning over Multimodal Nuclear Regulatory Documents
LLM planning agent with dynamic KG state achieves 81.5% accuracy on 200 multi-hop questions from NuScale FSAR documents, outperforming non-planning RAG baselines by up to 38pp.
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MimirRAG: A Multi-Agent RAG Framework for Financial Data Retrieval with Metadata Integration
MimirRAG, a multi-agent RAG framework with metadata integration and table-aware chunking, reaches 89.3% accuracy on FinanceBench and outperforms prior baselines for financial document retrieval.
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Bridging Language Models and Financial Analysis
A survey synthesizing recent LLM research and assessing its applicability to financial data analysis.