Jerry Liu 介绍专门处理复杂表单的模型
我们构建了最先进的模型，用于阅读表单 📋
表单文档具有以下特性，这些特性会让视觉语言模型（VLMs）感到棘手： ✅ 它们承载的结构远多于标准 Markdown 所能表示的。您需要一致的类型来处理复选框、文本框、标签、签名字段。 ✅ 它们可能极其复杂（表单可能被扫描，有手写涂鸦，有些表单密集包含 ~100+ 个字段），但准确性要求需要接近 100% ✅ 任何表单解析器都需要准确的 定位与来源归属。不仅要提取值，还需要精确定位每个值在源文档中的来源位置 ✅ 任何表单不仅需要准确，还需要廉价/快速
我们深入探讨了构建表单解析器所需的内容，在这篇博客文章中：https://www.llamaindex.ai/blog/why-vlms-can-t-read-forms
如果您想试用我们的表单模型，请查看 LlamaParse：
对照原文
We built state-of-the-art models for reading forms 📋 Form documents have the following properties that trip up VLMs: ✅ They carry much more structure than can be represented in standard markdown. You need consistent types for checkboxes, textboxes, labels, signature fields. ✅ They can be extremely complicated (forms can be scanned, there can handwriting scribbles, some forms are dense with ~100+ fields) but accuracy requirements need to be close to 100% ✅ Any form parser requires accurate grounding and attribution. Not only should you extract the values, but you should also be able to precisely locate where each value came from in the source doc ✅ Any form needs to be not only accurate, but cheap/fast We've done a deep-dive into what it takes to build a form parser in this blog post: https://t.co/T9zgMtSLUd If you want to try out our form models, check out LlamaParse: https://t.co/XYZmx5TFz8