3 papers
cs.AI2026
Evaluating AI Alignment in LLMs: Output Analysis of Value Priorities Across 75 Models with Human Benchmarking
Gabriel Rongyang Lau, Wei Yan Low, Seow Min Koh +2
Large language models (LLMs) are increasingly used in human-AI interaction research and practice, yet existing capability and safety benchmarks reveal little about the value priori…
cs.AI2025
Understanding Critical Thinking in Generative Artificial Intelligence Use: Development, Validation, and Correlates of the Critical Thinking in AI Use Scale
Gabriel R. Lau, Wei Yan Low, Louis Tay +3
Generative AI tools are increasingly embedded in everyday work and learning, yet their fluency, opacity, and propensity to hallucinate mean that users must critically evaluate AI o…
cs.HC2025
Conversational Explanations: Discussing Explainable AI with Non-AI Experts
Tong Zhang, Mengao Zhang, Wei Yan Low +2
Explainable AI (XAI) aims to provide insights into the decisions made by AI models. To date, most XAI approaches provide only one-time, static explanations, which cannot cater to u…