SilverSight: A Multi-Task Chinese Financial Large Language Model Based on Adaptive Semantic Space Learning

arXiv:2404.04949v1 Announce Type: new
Abstract: Large language models (LLMs) are increasingly being applied across various specialized fields, leveraging their extensive knowledge to empower a multitude of scenarios within these domains. However, each field encompasses a variety of specific tasks that require learning, and the diverse, heterogeneous data across these domains can lead to conflicts during model task transfer. In response to this challenge, our study introduces an Adaptive Semantic Space Learning (ASSL) framework, which utilizes the adaptive reorganization of data …

abstract arxiv chinese cs.ce cs.cl diverse domains fields financial however knowledge language language model language models large language large language model large language models llms semantic space specific tasks tasks type