XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters
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Abstract (arXiv)
In recent years, pre-trained language models have undergone rapid development with the emergence of large-scale models. However, there is a lack of open-sourced chat models specifically designed for the Chinese language, especially in the field of Chinese finance, at the scale of hundreds of billions. To address this gap, we introduce XuanYuan 2.0, the largest Chinese chat model to date, built upon the BLOOM-176B architecture. Additionally, we propose a novel training method called hybrid-tuning to mitigate catastrophic forgetting. By combining general-domain with domain-specific knowledge and integrating the stages of pre-training and fine-tuning, XuanYuan 2.0 is capable of providing accurate and contextually appropriate responses in the Chinese financial domain.
Key facts. Cited by 92 papers in the map (data through 7 Oct 2026). Builds on 17 of its 31 references that are in the map. First posted on arXiv 19 May 2023.
Builds on
17 of 31 references.
References · 17
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- 2019FinBERT: Financial Sentiment Analysis with Pre-trained Language Modelscited by 378
- 2020CLUE: A Chinese Language Understanding Evaluation Benchmarkcited by 277
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