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Existing large language models often exhibit significant value bias, making them misaligned with the mainstream values of their respective nations. To address this issue, we explore how to align a large language model's ideological stance with their national mainstream values. We introduce CMV-LLM, a model that aligns with China's mainstream values, by carefully curating large-scale Chinese datasets and fine-tuning. To validate its effectiveness, we evaluate the model using a national values assessment dataset, comparing it with several popular LLMs. |