MixingBoard：一个知识型风格化集成文本生成平台
MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform
摘要：
我们提出MixingBoard，一个快速构建演示的平台，专注于基于知识的风格化文本生成。我们统一现有的文本生成算法在一个共享的代码库，并进一步适应早期的算法约束生成。为了借鉴不同模型的优点，我们实现了跨模型集成的策略，从令牌概率水平到潜在空间水平。外部知识的接口是通过一个模块提供的，该模块从网络上的段落或任何文档集合中检索实时相关知识。它提供了一个用于本地开发、远程网页访问的用户界面和一个RESTful API，使用户能够轻松构建自己的演示。
英文摘要：
We present MixingBoard, a platform for quickly building demos with a focus on knowledge grounded stylized text generation. We unify existing text generation algorithms in a shared codebase and further adapt earlier algorithms for constrained generation. To borrow advantages from different models, we implement strategies for cross-model integration, from the token probability level to the latent space level. An interface to external knowledge is provided via a module that retrieves on-the-fly relevant knowledge from passages on the web or any document collection. A user interface for local development, remote webpage access, and a RESTful API are provided to make it simple for users to build their own demos.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
