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  1. 1
    Compositional imprecise probability: a solution from graded monads and Markov categories

    Compositional imprecise probability: a solution from graded monads and Markov categories by Liell-Cock, J, Staton, S

    Published 2025
    “…We look at programming language models for imprecise probability. Our desiderata are that we would like our model to support all kinds of composition, categorical and monoidal; in other words, guided by dataflow diagrams. …”
    Journal article
  2. 2
    Addressing Misalignment in Language Model Deployments through Context-Specific Evaluations

    Addressing Misalignment in Language Model Deployments through Context-Specific Evaluations by Soni, Prajna

    Published 2024
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    Thesis

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