Alex Lin
2025
FinNLP-FNP-LLMFinLegal-2025 Shared Task: Regulations Challenge
Keyi Wang
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Jaisal Patel
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Charlie Shen
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Daniel Kim
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Andy Zhu
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Alex Lin
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Luca Borella
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Cailean Osborne
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Matt White
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Steve Yang
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Kairong Xiao
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Xiao-Yang Liu
Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal)
Financial large language models (FinLLMs) have been applied to various tasks in business, finance, accounting, and auditing. Complex financial regulations and standards are critical to financial services, which LLMs must comply with. However, FinLLMs’ performance in understanding and interpreting financial regulations has rarely been studied. Therefore, we organize the Regulations Challenge, a shared task at COLING FinNLP-FNP-LLMFinLegal-2025. It encourages the academic community to explore the strengths and limitations of popular LLMs. We create 9 novel tasks and corresponding question sets. In this paper, we provide an overview of these tasks and summarize participants’ approaches and results. We aim to raise awareness of FinLLMs’ professional capability in financial regulations and industry standards.
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Co-authors
- Luca Borella 1
- Daniel Kim 1
- Xiao-Yang Liu 1
- Cailean Osborne 1
- Jaisal Patel 1
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