Bias measurement in Chinese language models varies by task and register; irony classification risks skewing results
Read the original at arxiv.org→arXiv:2610.14464v1 Announce Type: new Abstract: In Chinese content governance, large language models are increasingly used to identify toxic and discriminatory expressions, yet both task operationalization and...
Original headline: "Evaluating Bias in Chinese Large Language Models across Tasks and Registers: Task Operationalization Effects and Irony Classification Risks"
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- Oct 14, 04:00 UTC arXiv cs.CL lead source Evaluating Bias in Chinese Large Language Models across Tasks and Registers: Task Operationalization Effects and Irony Classification Risks