A clean reimplementation of the K-Adapter paper (inofficial).
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Nov 15, 2022 - Python
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transformer-adapters
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In this project we trained personalized transformer models for news recommendation using adapters [similar to (IA)^3]. With layerwise relevancy propagation, we try to explain the recommendation to the user. Using a web interface and displaying word clouds, the user can be assigned to a “filter bubble”. This allows users to reflect on their behavior
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Feb 29, 2024 - Jupyter Notebook
Code & Data for the paper "Fair and Argumentative Language Modeling for Computational Argumentation"
natural-language-processing
transformers
argumentation
debiasing-neural-networks
transformer-adapters
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Updated
Mar 13, 2024 - Jupyter Notebook
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