Now showing items 202-204 of 36487

    • Probabilistic Inference for Inference Time Scaling of Language Models 

      Puri, Isha (Massachusetts Institute of Technology, 2025-05)
      Large language models (LLMs) have achieved significant performance gains via scaling up model sizes and/or data. However, recent evidence suggests diminishing returns from such approaches, motivating a pivot to scaling ...
    • Toward Systematic Integration of Inverter-Based Resources in Electricity Markets 

      Pierre, Jordina (Massachusetts Institute of Technology, 2025-05)
      This thesis introduces a multi-layer control architecture for inverter-based resources (IBRs), separating fast local feedback control from slower self-dispatch and system-level market coordination. Existing integration ...
    • Approximations to worst-case data dropping: unmasking failure modes 

      Huang, Jenny Yijian (Massachusetts Institute of Technology, 2025-05)
      A data analyst might worry about generalization if dropping a very small fraction of data points from a study could change its substantive conclusions. Checking this non-robustness directly poses a combinatorial optimization ...