Papers with adversarial triggering

1 papers
Nationality Bias in Text Generation (2023.eacl-main)

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Challenge: Existing studies have shown that nationality biases in language models can be a factor in improving the performance of social NLP models.
Approach: They propose to use a text generation model, GPT-2, to analyze how the number of internet users and the country’s economic status affects the sentiment of stories.
Outcome: The proposed model accentuates biases about country-based demonyms and reduces them with the use of adversarial triggering.

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