Evaluating, Understanding, and Improving Constrained Text Generation for Large Language Models

arXiv:2310.16343v2 Announce Type: replace
Abstract: Advancements in natural language generation (NLG) and large language models (LLMs) have led to proficient text generation in various tasks. However, integrating intricate constraints into neural text generation, due to LLMs' opacity, remains challenging. This study investigates constrained text generation for LLMs, where predefined constraints are applied during LLM's generation process. Our research mainly focuses on mainstream open-source LLMs, categorizing constraints into lexical, structural, and relation-based types. We also present various benchmarks to facilitate fair …

abstract arxiv constraints cs.cl however improving language language generation language models large language large language models llms natural natural language natural language generation nlg study tasks text text generation type understanding