@inproceedings{wang-etal-2025-finnlp,
title = "{F}in{NLP}-{FNP}-{LLMF}in{L}egal-2025 Shared Task: Regulations Challenge",
author = "Wang, Keyi and
Patel, Jaisal and
Shen, Charlie and
Kim, Daniel and
Zhu, Andy and
Lin, Alex and
Borella, Luca and
Osborne, Cailean and
White, Matt and
Yang, Steve and
Xiao, Kairong and
Liu, Xiao-Yang",
editor = "Chen, Chung-Chi and
Moreno-Sandoval, Antonio and
Huang, Jimin and
Xie, Qianqian and
Ananiadou, Sophia and
Chen, Hsin-Hsi",
booktitle = "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)",
month = jan,
year = "2025",
address = "Abu Dhabi, UAE",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.finnlp-1.42/",
pages = "363--370",
abstract = "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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<abstract>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.</abstract>
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%0 Conference Proceedings
%T FinNLP-FNP-LLMFinLegal-2025 Shared Task: Regulations Challenge
%A Wang, Keyi
%A Patel, Jaisal
%A Shen, Charlie
%A Kim, Daniel
%A Zhu, Andy
%A Lin, Alex
%A Borella, Luca
%A Osborne, Cailean
%A White, Matt
%A Yang, Steve
%A Xiao, Kairong
%A Liu, Xiao-Yang
%Y Chen, Chung-Chi
%Y Moreno-Sandoval, Antonio
%Y Huang, Jimin
%Y Xie, Qianqian
%Y Ananiadou, Sophia
%Y Chen, Hsin-Hsi
%S 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)
%D 2025
%8 January
%I Association for Computational Linguistics
%C Abu Dhabi, UAE
%F wang-etal-2025-finnlp
%X 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.
%U https://aclanthology.org/2025.finnlp-1.42/
%P 363-370
Markdown (Informal)
[FinNLP-FNP-LLMFinLegal-2025 Shared Task: Regulations Challenge](https://aclanthology.org/2025.finnlp-1.42/) (Wang et al., FinNLP 2025)
ACL
- Keyi Wang, Jaisal Patel, Charlie Shen, Daniel Kim, Andy Zhu, Alex Lin, Luca Borella, Cailean Osborne, Matt White, Steve Yang, Kairong Xiao, and Xiao-Yang Liu. 2025. FinNLP-FNP-LLMFinLegal-2025 Shared Task: Regulations Challenge. In 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), pages 363–370, Abu Dhabi, UAE. Association for Computational Linguistics.