Papers with moral self-correction”

1 papers
CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models (2024.lrec-main)

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Challenge: a dataset of Chinese large language models is used to measure societal biases . many studies have shown that LLMs exhibit harmful societal biased outputs despite human data .
Approach: They present a Chinese Bias Benchmark dataset that includes over 100K questions constructed by human experts and generative language models.
Outcome: The proposed dataset covers stereotypes and societal biases in 14 social dimensions related to Chinese culture and values.

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