5 papers
Lighting Up or Dimming Down? Exploring Dark Patterns of LLMs in Co-Creativity
Zhu Li, Jiaming Qu, Yuan Chang
Large language models (LLMs) are increasingly acting as collaborative writing partners, raising questions about their impact on human agency. In this exploratory work, we investiga…
Metaphors We Compute By: A Computational Audit of Cultural Translation vs. Thinking in LLMs
Yuan Chang, Jiaming Qu, Zhu Li
Large language models (LLMs) are often described as multilingual because they can understand and respond in many languages. However, speaking a language is not the same as reasonin…
A Multi-Agent Framework for Democratizing XR Content Creation in K-12 Classrooms
Yuan Chang, Zhu Li, Jiaming Qu
Generative AI (GenAI) combined with Extended Reality (XR) offers potential for K-12 education, yet classroom adoption remains limited by the high technical barrier of XR content au…
TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review
Yuan Chang, Ziyue Li, Hengyuan Zhang +6
While Large Language Models (LLMs) have shown significant potential in assisting peer review, current methods often struggle to generate thorough and insightful reviews while maint…
HiPlan: Hierarchical Planning for LLM-Based Agents with Adaptive Global-Local Guidance
Ziyue Li, Yuan Chang, Gaihong Yu +1
Large language model (LLM)-based agents have demonstrated remarkable capabilities in decision-making tasks, but struggle significantly with complex, long-horizon planning scenarios…