标题： 资源高效的LLM应用用于非结构化金融合同的结构化转换 显示英文标题

标题： Resource-Efficient LLM Application for Structured Transformation of Unstructured Financial Contracts

摘要： 将非结构化法律合同转换为标准化的机器可读格式对于自动化财务工作流程至关重要。 通用领域模型（CDM）为此提供了一个标准化框架，但将复杂的法律文件（如信用支持附件（CSAs））转换为CDM表示仍然是一个重大挑战。 在本文中，我们提出了CDMizer框架的扩展，这是一种基于模板的解决方案，在合同到CDM转换过程中确保语法正确性并遵循CDM模式。 我们将这个扩展的框架应用于一个现实任务，将其性能与国际互换与衍生品协会（ISDA）为CSA条款提取开发的基准进行比较。 我们的结果表明，当与一个显著更小的开源大型语言模型（LLM）集成时，CDMizer在准确性与效率方面与更大的专有模型相比具有竞争力。 这项工作强调了资源高效解决方案在自动化法律合同转换方面的潜力，提供了一种成本效益高且可扩展的方法，能够满足资源有限或有严格数据隐私要求的金融机构的需求。 显示英文摘要

摘要： The transformation of unstructured legal contracts into standardized, machine-readable formats is essential for automating financial workflows. The Common Domain Model (CDM) provides a standardized framework for this purpose, but converting complex legal documents like Credit Support Annexes (CSAs) into CDM representations remains a significant challenge. In this paper, we present an extension of the CDMizer framework, a template-driven solution that ensures syntactic correctness and adherence to the CDM schema during contract-to-CDM conversion. We apply this extended framework to a real-world task, comparing its performance with a benchmark developed by the International Swaps and Derivatives Association (ISDA) for CSA clause extraction. Our results show that CDMizer, when integrated with a significantly smaller, open-source Large Language Model (LLM), achieves competitive performance in terms of accuracy and efficiency against larger, proprietary models. This work underscores the potential of resource-efficient solutions to automate legal contract transformation, offering a cost-effective and scalable approach that can meet the needs of financial institutions with constrained resources or strict data privacy requirements.