RKEFino1: A Regulation Knowledge-Enhanced Large Language Model
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Abstract (arXiv)
Recent advances in large language models (LLMs) hold great promise for financial applications but introduce critical accuracy and compliance challenges in Digital Regulatory Reporting (DRR). To address these issues, we propose RKEFino1, a regulation knowledge-enhanced financial reasoning model built upon Fino1, fine-tuned with domain knowledge from XBRL, CDM, and MOF. We formulate two QA tasks-knowledge-based and mathematical reasoning-and introduce a novel Numerical NER task covering financial entities in both sentences and tables. Experimental results demonstrate the effectiveness and generalization capacity of RKEFino1 in compliance-critical financial tasks. We have released our model on Hugging Face.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 11 of its 15 references that are in the map. First posted on arXiv 6 Jun 2025.
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References · 11
- 2023BloombergGPT: A Large Language Model for Financecited by 939
- 2023FinGPT: Open-Source Financial Large Language Modelscited by 253
- 2023PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Financecited by 222
- 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 102
- 2022FiNER: Financial Numeric Entity Recognition for XBRL Taggingcited by 50
- 2024Open-FinLLMs: Open Multimodal Large Language Models for Financial Applicationscited by 36
- 2024Automate Strategy Finding with LLM in Quant Investmentcited by 26
- 2025Plutus: Benchmarking Large Language Models in Low-Resource Greek Financecited by 18
- 2023Financial Numeric Extreme Labelling: A Dataset and Benchmarking for XBRL Taggingcited by 12
- 2024CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Modelscited by 2
- 2025OrdRankBen: A Novel Ranking Benchmark for Ordinal Relevance in NLPcited by 2
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