rbroc/cholera_sd_pilot

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rbroc/cholera_sd_pilot

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echo

A Scalable and Explainable Approach to Discriminating Between Human and Artificially Generated Text

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benchmarks_paper

Code and data for Rocca, R., & Yarkoni, T., (2023): Putting psychology to the test: rethinking model evaluation through benchmarking and prediction, published in Advances in Methods and Practices in Psychological Science

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neuroscout-tutorials

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neuroscout-encoding-models

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multidiagnosis-text

Feature-based and Transformer models for classification of mental disorders from text

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contrastive-user-encoders

Code for: Rocca, R., & Yarkoni, T. (2022), Language models as user encoders: Self-supervised learning of user encodings using transformers, to appear in Findings of the Association for Computational Linguistics: EMNLP 2022

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