A survey on the application and research progress of large language models in financial forecasting
Large language models (LLMs) are reshaping the technical paradigms of financial forecasting through their robust representation learning and reasoning capabilities. This paper systematically reviews the application pathways of architectures such as transformers and graph neural networks in scenarios...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-06-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0274031 |
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