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cs.CL2026
Alignment by Stereotyping: How LLMs Sacrifice Individual Distinctiveness for Cultural Adaptation
Qishuai Zhong, Zongmin Li, Siqi Fan +1
Large language models are increasingly deployed for personalized interaction, and demographic conditioning via user profiles is a widely adopted strategy for cultural adaptation. W…
cs.CL2025
Evaluating LLM Adaptation to Sociodemographic Factors: User Profile vs. Dialogue History
Qishuai Zhong, Zongmin Li, Siqi Fan +1
Effective engagement by large language models (LLMs) requires adapting responses to users' sociodemographic characteristics, such as age, occupation, and education level. While man…
cs.CL2024
RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation
Ian Poey, Jiajun Liu, Qishuai Zhong +1
Real-time detection of out-of-context LLM outputs is crucial for enterprises looking to safely adopt RAG applications. In this work, we train lightweight models to discriminate LLM…