Global ETD Search

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Showing 1 to 3 of 3 for “"Generative Pre-Trained Transformers"”.

  1. Essays in Networks and Experimental Economics

    … The fourth chapter examines the behaviour of Generative Pre-trained Transformers (GPT) in classic game experiments. The first chapter theoretically examines how agents' behavioural traits influence long-term coordination outcomes in networks. Agents conduct experience-weighted attraction (EWA) …

    cambridge Repository record for Essays in Networks and Experimental Economics (opens in a new tab)

  2. Contextual topics: advancing text segmentation through pre-trained models and contextual keywords

    … in creating structured, searchable text-based representations after digitizing paper-based documents. Traditionally, TS has been approached with sub-optimal feature engineering efforts and heuristic modelling. In this work, we explore novel supervised training procedures with a labeled text …

    uoit Repository record for Contextual topics: advancing text segmentation through pre-trained models and contextual keywords (opens in a new tab)

  3. Learning How Humans Play Board Games with GPT-4IAR

    … these computational models aim to be interpretable, meaning that they are crafted in a way that what each parameter means has a clear meaning, perhaps in contrast to massive neural networks. However, the latter may better capture more complex behaviors that the hand-crafted model could …

    helsinki Repository record for Learning How Humans Play Board Games with GPT-4IAR (opens in a new tab)