多模态大语言模型(MultiModal Large Language Models,MM-LLMs)作为生成式人工智能发展的新方向,正在快速变革税收征管领域,其所具备的跨模态、专业化、高效化等优势,可显著提升税务数据分析与预测精准度、税收风险识别与管理水平、税...
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多模态大语言模型(MultiModal Large Language Models,MM-LLMs)作为生成式人工智能发展的新方向,正在快速变革税收征管领域,其所具备的跨模态、专业化、高效化等优势,可显著提升税务数据分析与预测精准度、税收风险识别与管理水平、税务咨询与服务质量等。税务部门须顺应新趋势,探索如何推进MM-LLMs在税收征管领域的深度实践应用,从而推动税收征管现代化。基于MM-LLMs在税收征管中的可行性和关键技术,构建和提出税收征管领域专用MM-LLMs架构和具体实现路径,并以自然人办税服务平台的优化升级为例,分析该模型架构在税收征管中的应用场景,以期能够为MM-LLMs在税收征管领域的应用提供参考。
在经济全球化背景与“一带一路”政策的带动下,我国跨境电商规模不断扩大,推动我国外贸模式转型升级,在推动我国经济发展中发挥着重要作用。但是,我国目前在跨境电商税收征管模式尚且没有形成闭环,现行的监管手段在飞速发展的跨境电商面前无所适从,从而导致了我国税收流失。因此,我国的税收征管模式必须与时俱进,加强监管,完善法律建设,推动我国跨境电商的可持续发展,为我国税收征管保驾护航。Under the influence of economic globalization and the “Belt and Road” policy, the scale of cross-border e-commerce in China has been expanding, driving the transformation and upgrading of China’s foreign trade model and promoting China’s economic development. However, at present, China has not yet formed a closed-loop legal model for cross-border e-commerce taxation, and the current supervisory means are at a loss in the face of the rapidly developing cross-border e-commerce, leading to tax revenue losses in China. Therefore, China’s tax collection and administration model must keep pace with the times, strengthen supervision, improve legal construction, and promote the sustainable development of cross-border e-commerce in China, thus safeguarding China’s tax collection and administration.
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