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Found 6 papers, 3 papers with code
Towards Ethical Content-Based Detection of Online Influence Campaigns
The detection of clandestine efforts to influence users in online communities is a challenging problem with significant active development.
In BLOOM: Creativity and Affinity in Artificial Lyrics and Art
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.
Adversarial Robustness of Neural-Statistical Features in Detection of Generative Transformers
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.
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19
Social media has become an important communication channel during high impact events, such as the COVID-19 pandemic.
Machine Generated Text: A Comprehensive Survey of Threat Models and Detection Methods
Detection of machine generated text is a key countermeasure for reducing abuse of NLG models, with significant technical challenges and numerous open problems.
Faithful to Whom? Questioning Interpretability Measures in NLP
A common approach to quantifying model interpretability is to calculate faithfulness metrics based on iteratively masking input tokens and measuring how much the predicted label changes as a result.
