Large Language Model for Causal Decision Making

arXiv:2312.17122v3 Announce Type: replace-cross
Abstract: Large Language Models (LLMs) have shown their success in language understanding and reasoning on general topics. However, their capability to perform inference based on user-specified structured data and knowledge in corpus-rare concepts, such as causal decision-making is still limited. In this work, we explore the possibility of fine-tuning an open-sourced LLM into LLM4Causal, which can identify the causal task, execute a corresponding function, and interpret its numerical results based on users' queries and the provided …

abstract arxiv capability causal concepts cs.ai cs.cl data decision decision making explore fine-tuning general however inference knowledge language language model language models language understanding large language large language model large language models llms making possibility reasoning stat.ml structured data success topics type understanding work