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  1. 9501

    Generative Models as a Complex Systems Science: How Can We Make Sense of Large Language Model Behavior? by Ari Holtzman, Peter West, Luke Zettlemoyer

    Published 2025-06-01
    “…Coaxing out desired behavior from pretrained models, while avoiding undesirable ones, has redefined Natural Language Processing (NLP) and is reshaping how we interact with computers. …”
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    Order Under Uncertainty: Robust Differential Expression Analysis Using Probabilistic Models for Pseudotime Inference. by Kieran R Campbell, Christopher Yau

    Published 2016-11-01
    “…Single cell gene expression profiling can be used to quantify transcriptional dynamics in temporal processes, such as cell differentiation, using computational methods to label each cell with a 'pseudotime' where true time series experimentation is too difficult to perform. …”
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    How GPT Realizes Leibniz’s Dream and Passes the Turing Test without Being Conscious by Gordana Dodig-Crnkovic

    Published 2023-08-01
    “…As Kahneman’s “System 1”-type processes, GPTs lack mechanisms that would render them conscious, but they nonetheless demonstrate a certain level of intelligence and the capacity to represent and process knowledge. …”
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    Adapting to time: Why nature may have evolved a diverse set of neurons. by Karim G Habashy, Benjamin D Evans, Dan F M Goodman, Jeffrey S Bowers

    Published 2024-12-01
    “…Brains have evolved diverse neurons with varying morphologies and dynamics that impact temporal information processing. In contrast, most neural network models use homogeneous units that vary only in spatial parameters (weights and biases). …”
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    Teaching the fundamentals of biological data integration using classroom games. by Maria Victoria Schneider, Rafael C Jimenez

    Published 2012-01-01
    “…Generally, the subject of data integration is not discussed outside the field of computational science and is not covered in any detail, or even neglected, when teaching/training trainees. …”
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