We have been actively developing financial pre-trained generative transformers (FinGPT), collaborating with Linux Foundation, LF AI & Data, PyTorch Foundation, FINOS, CRAFT, and NVIDIA.
Following the Model Openness Framework (MOF), our FinGPT models leverage open models, while also being more powerful than proprietary models like BloombergGPT.
A short paper as blueprint, (! Our SecureFinAI lab has been inactive on Github repo since Nov. 2023).
A collaborative effort at FINOS LLM Exploration.
Partner with our lab: You are welcome to join this collaborative effort, your expertise and enthusiasm will reshape the future.
Financial Generative Pre-trained Transformers (FinGPT)
- Xiao-Yang Liu, Yupeng Cao, Li Deng. Multimodal Financial Foundation Models (MFFMs): Progress, Prospects, and Challenges. arXiv preprint arXiv:2506.01973, 2025.
- Xiao-Yang Liu, R. Zhu, Daochen Zha, J. Gao, S. Zhong, Meikang Qiu. Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning. ACM Transactions on Management Information Systems, 2024.
- Xiao-Yang Liu, Guoxuan Wang, Hongyang Yang, and Daochen Zha*. FinGPT: Democratizing Internet-scale data for financial large language models. Workshop on Instruction Tuning and Instruction Following, NeurIPS 2023.
- Xiao-Yang Liu, Y. Zhang, Y. Liao, and Ling Jiang*. Dynamic updating of the knowledge base for a large-scale question answering system. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 2020.
- Guojun Xiong, Zhiyang Deng, Keyi Wang, Yupeng Cao, Haohang Li, Yangyang Yu, Xueqing Peng, Mingquan Lin, Kaleb E Smith, Xiao-Yang Liu Yanglet, Jimin Huang, Sophia Ananiadou, Qianqian Xie. FLAG-TRADER: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading. ACL 2025.
- Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu*, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang. FinBen: A holistic financial benchmark for large language models. Advances in Neural Information Processing Systems 37 (2024): 95716-95743.
- Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu et al. Dólares or dollars? unraveling the bilingual prowess of financial LLMs between Spanish and English. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 6236-6246. 2024.
- Felix Tian, Ajay Byadgi, Daniel Kim, Daochen Zha, Matt White, Kairong Xiao, Xiao-Yang Liu*. Customized FinGPT Search Agents Using Foundation Models. ACM International Conference on AI in Finance, 2024.
- Shengyuan Lin, Keyi Wang, and Xiao-Yang Liu. Analyzing Cascading Outbreak of GameStop Event: A Practical Approach Using Network Analysis and Large Language Models. Proceedings of the 5th ACM International Conference on AI in Finance, pp. 428-436. 2024.
- Shijie Han, Haoqiang Kang, Bo Jin, Xiao-Yang Liu, and Steve Y. Yang. XBRL Agent: Leveraging large language models for financial report analysis. Proceedings of the 5th ACM International Conference on AI in Finance, pp. 856-864. 2024.
- Boyu Zhang, Hongyang Yang, Tianyu Zhou, Muhammad Ali Babar, and Xiao-Yang Liu*. Enhancing financial sentiment analysis via retrieval augmented large language models. ACM International Conference on AI in Finance (ICAIF), pp. 349-356, 2023.
- Boyu Zhang, Hongyang Yang and Xiao-Yang Liu*, Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models. Symposium on FinLLM, IJCAI 2023.
High-Performance Computing (Optimized GPU Primitives) for FinGPT
- Xiao-Yang Liu, Jie Zhang, Guoxuan Wang, Weiqing Tong, Anwar Walid. FinGPT-HPC: Efficient Pretraining and Finetuning Large Language Models for Financial Applications with High-Performance Computing. arXiv, 2024. (formal publication: Efficient Pretraining and Finetuning of Quantized LLMs with Low-rank Structure. IEEE ICDCS 2024).
- Xiao-Yang Liu, H. Hong, Z. Zhang, W. Tong, J. Kossaifi, X. Wang, and A. Walid. High-performance Tensor-Train Primitives Using GPU Tensor Cores. IEEE Transactions on Computers, 2024.
- Xiao-Yang Liu, Z. Zhang, Z. Wang, H. Lu, X. Wang*, and A. Walid. High-performance tensor learning primitives using GPU tensor cores. IEEE Transactions on Computers, 2022.
- Dannong Wang, Daniel Kim, Bo Jin, Xingjian Zhao, Tianfan Fu, Steve Yang, Xiao-Yang Liu. FinLoRA: Finetuning Quantized Financial Large Language Models Using Low-Rank Adaptation. (AAAI 2025 Workshop ColoAI), arXiv, 2025. Github repo.