Kuaiji: the First Chinese Accounting Large Language Model

Jiayuan Luo, Songhua Yang, Xiaoling Qiu, Panyu Chen, Yufei Nai +3 more
2/21/2024
cs.CLcs.AI

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Abstract

Large Language Models (LLMs) like ChatGPT and GPT-4 have demonstrated impressive proficiency in comprehending and generating natural language. However, they encounter difficulties when tasked with adapting to specialized domains such as accounting. To address this challenge, we introduce Kuaiji, a tailored Accounting Large Language Model. Kuaiji is meticulously fine-tuned using the Baichuan framework, which encompasses continuous pre-training and supervised fine-tuning processes. Supported by CAtAcctQA, a dataset containing large genuine accountant-client dialogues, Kuaiji exhibits exceptional accuracy and response speed. Our contributions encompass the creation of the first Chinese accounting dataset, the establishment of Kuaiji as a leading open-source Chinese accounting LLM, and the validation of its efficacy through real-world accounting scenarios.

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Cite this paper

@article{luo2024kuaiji,
  title  = {Kuaiji: the First Chinese Accounting Large Language Model},
  author = {Jiayuan Luo and Songhua Yang and Xiaoling Qiu and Panyu Chen and Yufei Nai and Wenxuan Zeng and Wentao Zhang and Xinke Jiang},
  year   = {2024},
  eprint = {2402.13866},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2402.13866v2}
}

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