Oct. 17, 2022, 1:11 a.m. | Jingyu Zhang, James Glass, Tianxing He

cs.LG updates on arXiv.org arxiv.org

Existing work on controlled text generation (CTG) assumes a control interface
of categorical attributes. In this work, we propose a natural language (NL)
interface, where we craft a PCFG to embed the control attributes into natural
language commands, and propose variants of existing CTG models that take
commands as input. In our experiments, we design tailored setups to test
model's generalization abilities. We find our PCFG-based command generation
approach is effective for handling unseen commands compared to fix-set
templates; our …

arxiv controlled text generation language natural natural language text text generation

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

#13721 - Data Engineer - AI Model Testing

@ Qualitest | Miami, Florida, United States

Elasticsearch Administrator

@ ManTech | 201BF - Customer Site, Chantilly, VA