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Summary of Auditwen:an Open-source Large Language Model For Audit, by Jiajia Huang et al.


AuditWen:An Open-Source Large Language Model for Audit

by Jiajia Huang, Haoran Zhu, Chao Xu, Tianming Zhan, Qianqian Xie, Jimin Huang

First submitted to arxiv on: 9 Oct 2024

Categories

  • Main: Computation and Language (cs.CL)
  • Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)

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GrooveSquid.com Paper Summaries

GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!

Summary difficulty Written by Summary
High Paper authors High Difficulty Summary
Read the original abstract here
Medium GrooveSquid.com (original content) Medium Difficulty Summary
A medium-difficulty summary of the abstract: This paper presents a significant advancement in artificial intelligence (AI) auditing, enhancing both quality and efficiency. The authors introduce AuditWen, an open-source large language model (LLM) specifically designed for audit purposes. To address challenges faced by general LLMs applied to audits, such as lacking specialized knowledge and data biases, the study fine-tunes Qwen with constructing instruction data from the audit domain. The authors outline application scenarios and requirements for LLMs in auditing, proposing AuditWen as a tailored solution. In an evaluation stage, the researchers propose a benchmark with 3k instructions covering critical audit tasks derived from application scenarios. The results demonstrate superior performance of AuditWen in question understanding and answer generation, making it a valuable tool for audits.
Low GrooveSquid.com (original content) Low Difficulty Summary
A low-difficulty summary: This paper is about using artificial intelligence to make auditing better and faster. Auditing is important because it helps us make sure companies are being honest. Right now, auditors have to do lots of work by hand, but this new technology can help them get the job done more quickly and accurately. The researchers created a special kind of computer program called AuditWen that can understand questions about audits and provide answers. They tested it against other programs and found that it works better than the others. This is important because auditors will be able to use this tool to make their work easier and more efficient.

Keywords

» Artificial intelligence  » Large language model