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cs.CL2026
Security and Privacy Prompts in the Wild: What Users Ask LLMs and How LLMs Respond
Hobin Kim, Xiaoyuan Wu, Omer Akgul +2
Large language models (LLMs) are widely used to fulfill users' information needs; users ask LLMs about the weather, pose educational questions, and consult them for legal assistanc…
cs.CL2025
User Perceptions vs. Proxy LLM Judges: Privacy and Helpfulness in LLM Responses to Privacy-Sensitive Scenarios
Xiaoyuan Wu, Roshni Kaushik, Wenkai Li +2
Large language models (LLMs) are rapidly being adopted for tasks like drafting emails, summarizing meetings, and answering health questions. In these settings, users may need to sh…
cs.CL2025★ 1 cited
Estimating LLM Consistency: A User Baseline vs Surrogate Metrics
Xiaoyuan Wu, Weiran Lin, Omer Akgul +1
Large language models (LLMs) are prone to hallucinations and sensitive to prompt perturbations, often resulting in inconsistent or unreliable generated text. Different methods have…