Surpassing Human Counterparts: A Breakthrough Achievement of Large Language Models in Professional Tax Qualification Examinations in China-Reference-Cited by-同舟云学术

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Surpassing Human Counterparts: A Breakthrough Achievement of Large Language Models in Professional Tax Qualification Examinations in China

Published:2024-06-25 Issue: Volume:35 Page:1365-1370
ISSN:
Container-title:2024 IEEE Conference on Artificial Intelligence (CAI)
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Author:

Xu Lifeng¹,Hu Chuanrui¹,Zhang Hua¹,Zhai Jiahui¹,Tang Wei²,Li Yuchen²,Peng Zhao²,Chen Qiuwu³,Sun Shiyu²,Ji Ao¹,Sun Yin³,Liu Zimou³,Wen Su³,Bin Liao³

Affiliation:

1. 360 AIResearch,Beijing,China

2. ZSTAX,Beijing,China

3. AIGCode,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10605128/10605229/10605461.pdf?arnumber=10605461

Reference23 articles.

1. Glm-130b: An open bilingual pre-trained model[J];Zeng,2022

2. Baichuan 2: Open large-scale language models[J];Yang,2023

3. Qwen technical report[J];Bai,2023

4. Educhat: A large-scale language model-based chatbot system for intelligent education[J];Dan,2023

5. Chatlaw: Open-source legal large language model with integrated external knowledge bases[J];Cui,2023

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