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arXiv · cs.AI · Jatin Gupta, Akhil Sharma, Saransh Singhania, Ali Imam Abidi · 8 小时前模型评分30

CA-ThinkFlow：面向印度特许会计师考试的检索增强推理框架

AI-Enabled Question-Answering for Chartered Accountancy: A Retrieval-Augmented Reasoning Framework

导读

研究者提出 CA-ThinkFlow，一个基于 14B-DeepSeek-R1（4-bit 量化）和 Docling 文档解析的检索增强生成（RAG，Retrieval-Augmented Generation）框架，用于回答印度特许会计师（CA）考试类问题。

生成六维分析
分类置信度

中 · 待人工复核

  • 只有单一媒体来源，需要人工复核。

来源级别：媒体与个人

应用领域：金融、法律与合规

事件类型：研究发布

证据摘录

  • “We present CA-ThinkFlow as a parameter-efficient Retrieval-Augmented Generation (RAG) framework which operates with a 14B, 4-bit-quantized reasoning model, 14B-DeepSeek-R1, and a layout-aware Docling extraction system which maintains document structure during extraction.”
  • “The framework shows high efficiency and strength in handling parameters, but essential reasoning abilities fail to process complex regulatory texts which exist in fields such as Taxation.”

来源：arXiv · cs.AI · arxiv.org

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