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arXiv · 2408.06574

SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model

Dayong Wu·Jiaqi Li·Baoxin Wang·Honghong Zhao·Siyuan Xue·Yanjie Yang·Zhijun Chang·Rui Zhang·Li Qian·Bo Wang·Shijin Wang·Zhixiong Zhang·Guoping Hu
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Abstract

Large language models (LLMs) have shown remarkable achievements across various language tasks.To enhance the performance of LLMs in scientific literature services, we developed the scientific literature LLM (SciLit-LLM) through pre-training and supervised fine-tuning on scientific literature, building upon the iFLYTEK Spark LLM. Furthermore, we present a knowledge service system Spark Research Assistant (SparkRA) based on our SciLit-LLM. SparkRA is accessible online and provides three primary functions: literature investigation, paper reading, and academic writing. As of July 30, 2024, SparkRA has garnered over 50,000 registered users, with a total usage count exceeding 1.3 million.

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Dayong Wu, Jiaqi Li, Baoxin Wang, Honghong Zhao, Siyuan Xue, Yanjie Yang, Zhijun Chang, Rui Zhang, Li Qian, Bo Wang, Shijin Wang, Zhixiong Zhang, Guoping Hu. 2024-08-13. SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model. https://arxiv.org/abs/2408.06574

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