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arXiv · 2402.06125

Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method

Joshua Zingale·Jugal Kalita
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Abstract

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 algorithm that enforces adherence toward specific 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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Joshua Zingale, Jugal Kalita. 2024-02-09. Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method. https://arxiv.org/abs/2402.06125

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