SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model
<|reference_start|>SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model: 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.<|reference_end|>
@article{wu2024sparkra:,
    title={SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark
  Large Language Model},
    author={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},
    journal={arXiv preprint arXiv:2408.06574},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.06574},
    primaryClass={cs.CL}
}