1. Department of Computer Science and Technology, Tongji University, Shanghai 201804, China 2. Shanghai Artificial Intelligence Laboratory, Shanghai 200030, China
K, Lee M W, Chang K Toutanova . Latent retrieval for weakly supervised open domain question answering. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019, 6086−6096
2
G, Izacard P, Lewis M, Lomeli L, Hosseini F, Petroni T, Schick J, Dwivedi-Yu A, Joulin S, Riedel E Grave . Atlas: few-shot learningwith retrieval augmented language models. Journal of MachineLearning Research, 2023, 24(251): 1−43
3
H, Yang X Y, Liu C D Wang . FinGPT: open-source financial large language models. 2023, arXiv preprint arXiv: 2306.06031
4
X, Zhang Q Yang . XuanYuan 2.0: a large Chinese financial chat model with hundreds of billions parameters. In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023, 4435−4439
5
W, Chen Q, Wang Z, Long X, Zhang Z, Lu B, Li S, Wang J, Xu X, Bai X, Huang Z Wei . DISC-FinLLM: a Chinese financial large language model based on multiple experts fine-tuning. 2023, arXiv preprint arXiv: 2310.15205
6
Xiao S, Liu Z, Zhang P, Muennighoff N. C-pack: packaged resources to advance general Chinese embedding. 2023, arXiv preprint arXiv: 2309.07597
7
Johnson J, Douze M, Jégou H. Billion-scale similarity search with GPUs. IEEE Transactions on Big Data, 2021, 7(3): 535−547
8
J, Li Y, Bian G, Wang Y, Lei D, Cheng Z, Ding C Jiang . CFGPT: Chinese financial assistant with large language model. 2023, arXiv preprint arXiv: 2309.10654
9
T, Sun X, Zhang Z, He P, Li Q, Cheng H, Yan X, Liu Y, Shao Q, Tang X, Zhao K, Chen Y, Zheng Z, Zhou R, Li J, Zhan Y, Zhou L, Li X, Yang L, Wu Z, Yin X, Huang X Qiu . Moss: training conversational language models from synthetic data. 2023, arXiv preprint arXiv: 2307.15020
10
Y, Lei J, Li M, Jiang J, Hu D, Cheng Z, Ding C Jiang . CFBenchmark: Chinese financial assistant benchmark for large language model. 2023, arXiv preprint arXiv: 2311.05812
