Institution

Sterling Research Group

USfacility

Recent research

  • BiologyOpen access

    Illuminating the Disease Landscape: Human Oxidoreductase-Targeted Imaging and Quantification Agents for Precision Imaging and Activity Determination

    Conspectus Electron-specific reduction reactions afforded by quinone oxidoreductases have long been recognized as essential for safeguarding healthy mammalian cells against oxidative stress induced by environmental insults. The presence of reactive oxygen species (ROS) initiates...

    Accounts of Chemical Research2026-09-230 citationsDOI
  • Physics & SpaceOpen access

    Protected-Code Recoverability as a Diagnostic for Spin-Coupled Gravitational Channels

    Protected subspaces are usually introduced to suppress noise. Here they are used as diagnostic filters for gravitational channel structure. The question is not whether a gravitationally motivated environment causes decoherence, but what error algebra it induces on a protected cod...

    Zenodo (CERN European Organization for Nuclear Research)2026-09-020 citationsDOI
  • AI & ComputingOpen access

    Cross model transfer of Direct Preference Optimization

    Since direct preference optimization (DPO) was introduced in 2023, it has become a widely used preference optimization strategy for post-training large language models (LLMs). DPO's implicit reward formulation is coupled to its reference policy, and its theoretical guarantees ass...

    Zenodo (CERN European Organization for Nuclear Research)2026-08-090 citationsDOI
  • AI & ComputingOpen access

    Cross model transfer of Direct Preference Optimization

    Since direct preference optimization (DPO) was introduced in 2023, it has become a widely used preference optimization strategy for post-training large language models (LLMs). DPO's implicit reward formulation is coupled to its reference policy, and its theoretical guarantees ass...

    Zenodo (CERN European Organization for Nuclear Research)2026-08-090 citationsDOI
  • AI & ComputingOpen access

    Cross model Direct Preference Optimization

    Since direct preference optimization (DPO) was introduced in 2023, it has become a widely used preference optimization strategy for post-training large language models (LLMs). DPO's implicit reward formulation is coupled to its reference policy, and its theoretical guarantees ass...

    Zenodo (CERN European Organization for Nuclear Research)2026-08-090 citationsDOI
  • Climate & EnvironmentOpen access

    Graded Branch Unpredictability Near Nonlinear Transitions: A Decision-Scale Framework and Held-Out Energy-Balance Demonstration

    Forecast laws near nonlinear transitions may be poorly concentrated even when they are not cleanly bimodal. For a conditional law P(t,h) on a metric state space, we study Uδ(t,h) = 1 − supₐ P(t,h){d(Y,a) ≤ δ}: the minimum probability that a point forecast misses the realization b...

    Zenodo (CERN European Organization for Nuclear Research)2026-08-070 citationsDOI