We apply a large multilingual language model (BLOOM-176B) in open-ended generation of Chinese song lyrics, and evaluate the resulting lyrics for coherence and creativity using human reviewers.
The great potential of state-of-the-art NLG systems is tempered by the multitude of avenues for abuse.
The detection of computer-generated text is an area of rapidly increasing significance as nascent generative models allow for efficient creation of compelling human-like text, which may be abused for the purposes of spam, disinformation, phishing, or online influence campaigns.
Social media has become an important communication channel during high impact events, such as the COVID-19 pandemic.
The detection of clandestine efforts to influence users in online communities is a challenging problem with significant active development.