Intent Factored Generation samples a high-temperature intent, such as keywords or a summary, and then samples the final response at lower temperature conditioned on that intent, increasing semantic diversity while keeping outputs coherent.
Witscript 2: A System for Generating Improvised Jokes Without Wordplay
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A previous paper presented Witscript, a system for generating conversational jokes that rely on wordplay. This paper extends that work by presenting Witscript 2, which uses a large language model to generate conversational jokes that rely on common sense instead of wordplay. Like Witscript, Witscript 2 is based on joke-writing algorithms created by an expert comedy writer. Human evaluators judged Witscript 2's responses to input sentences to be jokes 46% of the time, compared to 70% of the time for human-written responses. This is evidence that Witscript 2 represents another step toward giving a chatbot a humanlike sense of humor.
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Intent Factored Generation: Unleashing the Diversity in Your Language Model
Intent Factored Generation samples a high-temperature intent, such as keywords or a summary, and then samples the final response at lower temperature conditioned on that intent, increasing semantic diversity while keeping outputs coherent.