  We describe a Plug-and-Play controllable language generation framework,
Plug-and-Blend, that allows a human user to input multiple control codes
(topics). In the context of automated story generation, this allows a human
user lose or fine grained control of the topics that will appear in the
generated story, and can even allow for overlapping, blended topics. We show
that our framework, working with different generation models, controls the
generation towards given continuous-weighted control codes while keeping the
generated sentences fluent, demonstrating strong blending capability.
