preprint Open access

MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform

  • arXiv (Cornell University)
  • Cornell University
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Paper overview

Abstract

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.

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Publication details

DOI
10.48550/arxiv.2005.08365
OpenAlex
W3024436954
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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