Search Results - Hedderich, Michael A.

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  1. 1
    An exploration of knowledge‐organizing technologies to advance transdisciplinary back pain research

    An exploration of knowledge‐organizing technologies to advance transdisciplinary back pain research by Lotz, Jeffrey C., Ropella, Glen, Anderson, Paul, Yang, Qian, Hedderich, Michael A., Bailey, Jeannie, Hunt, C. Anthony

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  2. 2
    Explaining crowdworker behaviour through computational rationality

    Explaining crowdworker behaviour through computational rationality by Hedderich, Michael A., Oulasvirta, Antti

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  3. 3
    SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures

    SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures by Sharma, Adwait, Salchow-Hömmen, Christina, Mollyn, Vimal Suresh, Nittala, Aditya Shekhar, Hedderich, Michael A., Koelle, Marion, Seel, Thomas, Steimle, Jürgen

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  4. 4
    Analysing the Noise Model Error for Realistic Noisy Label Data

    Analysing the Noise Model Error for Realistic Noisy Label Data by Hedderich, Michael A., Zhu, Dawei, Klakow, Dietrich

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  5. 5
    Semantic Component Analysis: Discovering Patterns in Short Texts Beyond Topics

    Semantic Component Analysis: Discovering Patterns in Short Texts Beyond Topics by Eichin, Florian, Schuster, Carolin M, Groh, Georg, Hedderich, Michael A

    Published in arXiv.org
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  6. 6
    Understanding and Mitigating Classification Errors Through Interpretable Token Patterns

    Understanding and Mitigating Classification Errors Through Interpretable Token Patterns by Hedderich, Michael A, Fischer, Jonas, Klakow, Dietrich, Vreeken, Jilles

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  7. 7
    Meta Self-Refinement for Robust Learning with Weak Supervision

    Meta Self-Refinement for Robust Learning with Weak Supervision by Zhu, Dawei, Shen, Xiaoyu, Hedderich, Michael A, Klakow, Dietrich

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  8. 8
    Understanding When Tree of Thoughts Succeeds: Larger Models Excel in Generation, Not Discrimination

    Understanding When Tree of Thoughts Succeeds: Larger Models Excel in Generation, Not Discrimination by Chen, Qiqi, Wang, Xinpeng, Mondorf, Philipp, Hedderich, Michael A, Plank, Barbara

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  9. 9
    The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models

    The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models by Ma, Bolei, Wang, Xinpeng, Hu, Tiancheng, Anna-Carolina Haensch, Hedderich, Michael A, Plank, Barbara, Kreuter, Frauke

    Published in arXiv.org
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  10. 10
    ANEA: Distant Supervision for Low-Resource Named Entity Recognition

    ANEA: Distant Supervision for Low-Resource Named Entity Recognition by Hedderich, Michael A, Lange, Lukas, Klakow, Dietrich

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  11. 11
    Analysing the Noise Model Error for Realistic Noisy Label Data

    Analysing the Noise Model Error for Realistic Noisy Label Data by Hedderich, Michael A, Zhu, Dawei, Klakow, Dietrich

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  12. 12
    Learning Functions to Study the Benefit of Multitask Learning

    Learning Functions to Study the Benefit of Multitask Learning by Bettgenhäuser, Gabriele, Hedderich, Michael A, Klakow, Dietrich

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  13. 13
    A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education

    A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education by Hedderich, Michael A, Bazarova, Natalie N, Zou, Wenting, Shim, Ryun, Ma, Xinda, Yang, Qian

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  14. 14
    Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data

    Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data by Hedderich, Michael A, Klakow, Dietrich

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  15. 15
    Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels

    Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels by Lange, Lukas, Hedderich, Michael A, Klakow, Dietrich

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  16. 16
    On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers

    On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers by Mosbach, Marius, Khokhlova, Anna, Hedderich, Michael A, Klakow, Dietrich

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  17. 17
    Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages

    Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages by Zhu, Dawei, Hedderich, Michael A, Zhai, Fangzhou, Adelani, David Ifeoluwa, Klakow, Dietrich

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  18. 18
    MCSE: Multimodal Contrastive Learning of Sentence Embeddings

    MCSE: Multimodal Contrastive Learning of Sentence Embeddings by Zhang, Miaoran, Mosbach, Marius, Adelani, David Ifeoluwa, Hedderich, Michael A, Klakow, Dietrich

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  19. 19
    Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification

    Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification by Zhu, Dawei, Hedderich, Michael A, Zhai, Fangzhou, Adelani, David Ifeoluwa, Klakow, Dietrich

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  20. 20
    Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)

    Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL) by Hedderich, Michael A, Roth, Benjamin, Kann, Katharina, Plank, Barbara, Ratner, Alex, Klakow, Dietrich

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