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.
Coauthor: Designing a human-ai collaborative writing dataset for exploring language model capabilities
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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.