FinQA: A Training-Free Dynamic Knowledge Graph Question Answering System in Finance with LLM-Based Revision

Author:

Tao Wenbiao,Zhu Hanlun,Tan Keren,Wang Jiani,Liang Yuanyuan,Jiang Huihui,Yuan Pengcheng,Lan Yunshi

Publisher

Springer Nature Switzerland

Reference7 articles.

1. Chen, W., et al.: DISC-FinLLM: a Chinese financial large language model based on multiple experts fine-tuning. arXiv (2023)

2. Hu, E.J., et al.: Lora: low-rank adaptation of large language models (2021)

3. Huang, X., Zhang, J., Xu, Z., Ou, L., Tong, J.: A knowledge graph based question answering method for medical domain. PeerJ Comput. Sci. (2021)

4. Lan, Y., He, G., Jiang, J., Jiang, J., Zhao, W.X., Wen, J.R.: Complex knowledge base question answering: a survey. TKDE (2023)

5. Li, X., et al.: Alphafin: benchmarking financial analysis with retrieval-augmented stock-chain framework (2024)

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