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cs.LG2025
DMRL: Data- and Model-aware Reward Learning for Data Extraction
Zhiqiang Wang, Ruoxi Cheng
Large language models (LLMs) are inherently vulnerable to unintended privacy breaches. Consequently, systematic red-teaming research is essential for developing robust defense mech…
cs.LG2024
AGR: Age Group fairness Reward for Bias Mitigation in LLMs
Shuirong Cao, Ruoxi Cheng, Zhiqiang Wang
LLMs can exhibit age biases, resulting in unequal treatment of individuals across age groups. While much research has addressed racial and gender biases, age bias remains little ex…