Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method
<|reference_start|>Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method: 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.<|reference_end|>
@article{zingale2024language,
    title={Language Model Sentence Completion with a Parser-Driven Rhetorical
  Control Method},
    author={Joshua Zingale and Jugal Kalita},
    journal={arXiv preprint arXiv:2402.06125},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.06125},
    primaryClass={cs.CL}
}