Sensitive attributes such as age, income, and occupation can be inferred from user-generated content by aggregating indirect cues across many ordinary posts. LLM-based profilers can perform this aggregation automatically and with high accuracy, which makes large-scale personal attribute inference a major privacy threat...
Ahmed Sohair Khan, Estrid He, Chenglong Ma et al.· 0 citations
A Causal Front Door Prompting framework (CFDP) is proposed that reduces demographic influence by intervening on the chain of thought reasoning, which is treated as an observable mediator and consistently improves fairness metrics without sacrificing QA accuracy.
Ya-Qi Yang, Zi-Qi Xu, Jie Li et al.· Annual International ACM SIG...· 1 citation
LLM-generated search queries are widely used to augment IR evaluation, yet they may contain concepts that presuppose answer-side document knowledge, violating the information-access boundary of pre-search users. Existing validation metrics, including overlap, diversity, and effectiveness, cannot distinguish rare human-...
Chenglong Ma, Xinye Wanyan, Danula Hettiachchi et al.· 0 citations
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