Now showing items 61-63 of 55010

    • Randomness, Not Representation: The Unreliability of Evaluating Cultural Alignment in LLMs 

      Khan, Ariba; Casper, Stephen; Hadfield-Menell, Dylan (ACM|The 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025-06-23)
      Research on the ‘cultural alignment’ of Large Language Models (LLMs) has emerged in response to growing interest in understanding representation across diverse stakeholders. Current approaches to evaluating cultural alignment ...
    • Aptly: Making Mobile Apps from Natural Language 

      Patton, Evan; Kim, David; Granquist, Ashley; Liu, Robin; Scott, Arianna; e.a. (ACM|Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025-04-25)
      This paper introduces Aptly, a platform designed to democratize mobile app development, particularly for young learners. Aptly integrates a Large Language Model (LLM) with App Inventor, enabling users to create apps using ...
    • AcceloPrint: Fabricating Customizable Accelerometers with Multi-Material 3D Printing 

      Ozbek, Doga; AlAlawi, Marwa; Wessely, Michael (ACM|Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025-04-25)
      We introduce AcceloPrint, 3D-printed acceleration sensors that can be fabricated in one pass alongside a 3D object and report on its angular orientation or acceleration. AcceloPrint utilizes capacitive sensing to track the ...