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  • 1
    Emb-GAM

    Emb-GAM

    An interpretable and efficient predictor using pre-trained models

    ...In this work, we aim to bridge this gap by using pre-trained neural language models to extract embeddings for each input before learning a linear model in the embedding space. The final model (which we call Emb-GAM) is a transparent, linear function of its input features and feature interactions. Leveraging the language model allows Emb-GAM to learn far fewer linear coefficients, model larger interactions, and generalize well to novel inputs. Across a variety of natural-language-processing datasets, Emb-GAM achieves strong prediction performance without sacrificing interpretability.
    Downloads: 0 This Week
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  • 2
    OpenPrompt

    OpenPrompt

    An Open-Source Framework for Prompt-Learning

    ...Use the implementations of current prompt-learning approaches.* We have implemented various of prompting methods, including templating, verbalizing and optimization strategies under a unified standard. You can easily call and understand these methods.
    Downloads: 0 This Week
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  • 3

    cyborg

    Cyborg is an cybernetic organism project written with Ada programming

    Cyborg is an cybernetic organism project written with Ada programming language and using PragmARC library ; Developped on GNU/Linux system with 160x64 characters terminal.
    Downloads: 0 This Week
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