11 citations · 15 across the 5 of their papers we have counts for
5 papers
Fusing Bidirectional Chains of Thought and Reward Mechanisms A Method for Enhancing Question-Answering Capabilities of Large Language Models for Chinese Intangible Cultural Heritage
Ruilin Liu, Zhixiao Zhao, Jieqiong Li +2
The rapid development of large language models (LLMs) has provided significant support and opportunities for the advancement of domain-specific LLMs. However, fine-tuning these lar…
ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage
Wenhao Ye, Tiansheng Zheng, Yue Qi +6
The intangible cultural heritage (ICH) of China, a cultural asset transmitted across generations by various ethnic groups, serves as a significant testament to the evolution of hum…
GujiBERT and GujiGPT: Construction of Intelligent Information Processing Foundation Language Models for Ancient Texts
Dongbo Wang, Chang Liu, Zhixiao Zhao +8
In the context of the rapid development of large language models, we have meticulously trained and introduced the GujiBERT and GujiGPT language models, which are foundational model…
SikuGPT: A Generative Pre-trained Model for Intelligent Information Processing of Ancient Texts from the Perspective of Digital Humanities
Liu Chang, Wang Dongbo, Zhao Zhixiao +8
The rapid advance in artificial intelligence technology has facilitated the prosperity of digital humanities research. Against such backdrop, research methods need to be transforme…
SsciBERT: A Pre-trained Language Model for Social Science Texts
Si Shen, Jiangfeng Liu, Litao Lin +5
The academic literature of social sciences records human civilization and studies human social problems. With its large-scale growth, the ways to quickly find existing research on…