While conditional generation models can now generate natural language well enough to create fluent text, it is still difficult to control the generation process, leading to irrelevant, repetitive, and hallucinated content. Recent work shows that planning can be a useful intermediate step to render conditional generation less opaque and more grounded. We present a web browser-based demonstration for query-focused summarization that uses a sequence of question-answer pairs, as a blueprint plan for guiding text generation (i.e., what to say and in what order). We illustrate how users may interact with the generated text and associated plan visualizations, e.g., by editing and modifying the blueprint in order to improve or control the generated output. A short video demonstrating our system is available at https://goo.gle/text-blueprint-demo.

翻译：[translated abstract in Chinese] 尽管条件生成模型目前已能够生成流畅的自然语言文本，但生成过程的控制仍然困难，导致内容出现不相关、重复和幻觉现象。近期研究表明，规划可作为有用的中间步骤，使条件生成过程更透明且更具依据性。我们提出一个基于网页浏览器的查询聚焦摘要演示系统，该系统利用序列化的问答对作为蓝图计划来指导文本生成（即生成内容及其顺序）。我们展示了用户如何通过编辑和修改蓝图以改进或控制生成输出，从而与生成的文本及关联的可视化计划进行交互。系统演示短片可访问 https://goo.gle/text-blueprint-demo 观看。