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RuBia: A Russian Language Bias Detection Dataset
March 27, 2024, 4:48 a.m. | Veronika Grigoreva, Anastasiia Ivanova, Ilseyar Alimova, Ekaterina Artemova
cs.CL updates on arXiv.org arxiv.org
Abstract: Warning: this work contains upsetting or disturbing content.
Large language models (LLMs) tend to learn the social and cultural biases present in the raw pre-training data. To test if an LLM's behavior is fair, functional datasets are employed, and due to their purpose, these datasets are highly language and culture-specific. In this paper, we address a gap in the scope of multilingual bias evaluation by presenting a bias detection dataset specifically designed for the Russian …
abstract arxiv behavior bias biases cs.cl data dataset datasets detection fair functional language language models large language large language models learn llm llms pre-training raw social test training training data type work
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