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Xiaoqing Cheng

2 accepted papers

2025

BiasFilter: An Inference-Time Debiasing Framework for Large Language Models

EMNLP 2025

Mitigating social bias in large language models (LLMs) has become an increasingly important research objective. However, existing debiasing methods often incur high human and computational costs, exhibit limited effectiveness, and struggle to scale to larger models and open-ended generation tasks. T

2024

CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models

ACL 2024findings

What a large language model (LLM) would respond in ethically relevant context? In this paper, we curate a large benchmark CMoralEval for morality evaluation of Chinese LLMs. The data sources of CMoralEval are two-fold: 1) a Chinese TV program discussing Chinese moral norms with stories from the soci…