RKEFino1: A Regulation Knowledge-Enhanced Large Language Model
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.
6848de6e42e4f9106973f273
Yan Wang
extracted_pending
2025-06-11T01:39:59.328Z
65d76cc5b9b7b8bf88faa916
/avatars/d95232cd0c307efab6197ade1a66190b.svg
Yan Wang
user
YanAdjeNole
6848de6e42e4f9106973f274
Yueru He
claimed_verified
2025-06-18T16:16:00.572Z
65bd14e8ce846f8aa94db1d1
/avatars/76eaad15bf32eba75271f3dc315527c2.svg
Yueru He
user
Yueru1
6848de6e42e4f9106973f275
Ruoyu Xiang
6848de6e42e4f9106973f276
Jeff Zhao
RKEFino1: A Regulation Knowledge-Enhanced Large Language Model
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.
RKEFino1, a regulation-aware LLM fine-tuned with financial domain knowledge, effectively handles compliance-critical tasks including QA and numerical NER.
Large language models financial reasoning Digital Regulatory Reporting regulation knowledge-enhanced fine-tuning domain knowledge XBRL CDM MOF QA tasks knowledge-based reasoning mathematical reasoning Numerical NER financial entities