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Creators/Authors contains: "Zingale, Joshua"

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  1. Controlled text generation (CTG) seeks to guide large language model (LLM) output to produce text that conforms to desired criteria. The current study presents a novel CTG al- gorithm that enforces adherence toward spe- cific rhetorical relations in an LLM sentence- completion context by a parser-driven decoding scheme that requires no model fine-tuning. The method is validated both with automatic and human evaluation. The code is accessible on GitHub. 
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