A. Qin

When AI Writes, Who Gets Cited? Evidence of Citation Monoculture Across Language Models

Sina Alemohammad, Denghui Zhang, Bolong Tang, A. Qin et autres

As language models move from drafting prose to running literature-search agents with tool calls, fabricated references are becoming easier to catch and constrain. The harder failure begins after every candidate is real: different models may still select the same narrow subset, producing …

Reflections and New Directions for Human-Centered Large Language Models

Caleb Ziems, Dora Zhao, Rose E. Wang, Matthew Jörke et autres

Large Language Models (LLMs) are increasingly shaping the private and professional lives of users, with numerous applications in business, education, finance, healthcare, law, and science. With this rise in global influence comes greater urgency to build, evaluate, and deploy these systems in …

Reflections and New Directions for Human-Centered Large Language Models

Caleb Ziems, Dora Zhao, Rose E. Wang, Matthew Jörke et autres

Large Language Models (LLMs) are increasingly shaping the private and professional lives of users, with numerous applications in business, education, finance, healthcare, law, and science. With this rise in global influence comes greater urgency to build, evaluate, and deploy these systems in …

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Museum in the Classroom: Engaging Students with Augmented Reality Museum Artifacts and Generative AI

Carina Ly, Eleanor Peng, Katie Liu, A. Qin et autres

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Field Evaluation of Programmable Thermostats

Olga Sachs, Verena Tiefenbeck, C. Duvier, A. Qin et autres

Prior research suggests that poor programmable thermostats usability may prevent their effective use to save energy. The Fraunhofer team hypothesized that home occupants with high-usability thermostats would be more likely to use them to save energy than people with a basic thermostats. …

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