Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data. - Michael A. Hedderich; Dietrich Klakow (DeepLo@ACL, 2018)

Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. - Lukas Lange; Michael A. Hedderich; Dietrich Klakow (EMNLP/IJCNLP (1), 2019)

Using Multi-Sense Vector Embeddings for Reverse Dictionaries. - Michael A. Hedderich; Andrew Yates; Dietrich Klakow; Gerard de Melo (IWCS (1), 2019)

Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling. - Debjit Paul; Mittul Singh; Michael A. Hedderich; Dietrich Klakow (NAACL-HLT (Student Research Workshop), 2019)

On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers. - Marius Mosbach; Anna Khokhlova; Michael A. Hedderich; Dietrich Klakow (BlackboxNLP@EMNLP, 2020)

Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages. - Michael A. Hedderich; David Ifeoluwa Adelani; Dawei Zhu; Jesujoba O. Alabi; Udia Markus; Dietrich Klakow (EMNLP (1), 2020)

Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá. - David Ifeoluwa Adelani; Michael A. Hedderich; Dawei Zhu; Esther van den Berg; Dietrich Klakow (AfricaNLP, 2020)

Learning Functions to Study the Benefit of Multitask Learning. - Gabriele Bettgenhäuser; Michael A. Hedderich; Dietrich Klakow (CoRR, 2020)

Analysing the Noise Model Error for Realistic Noisy Label Data. - Michael A. Hedderich; Dawei Zhu; Dietrich Klakow (AAAI, 2021)

SoloFinger: Robust Microgestures while Grasping Everyday Objects. - Adwait Sharma; Michael A. Hedderich; Divyanshu Bhardwaj; Bruno Fruchard; Jess McIntosh; Aditya Shekhar Nittala; Dietrich Klakow; Daniel Ashbrook; Jürgen Steimle (CHI, 2021)

Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression. - Fech Scen Khoo; Dawei Zhu; Michael A. Hedderich; Dietrich Klakow (ESANN, 2021)

A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. - Michael A. Hedderich; Lukas Lange; Heike Adel; Jannik Strötgen; Dietrich Klakow (NAACL-HLT, 2021)

ANEA: Distant Supervision for Low-Resource Named Entity Recognition. - Michael A. Hedderich; Lukas Lange; Dietrich Klakow (CoRR, 2021)

Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL). - Michael A. Hedderich; Benjamin Roth 001; Katharina Kann; Barbara Plank; Alex Ratner; Dietrich Klakow (CoRR, 2021)

Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification. - Dawei Zhu; Michael A. Hedderich; Fangzhou Zhai; David Ifeoluwa Adelani; Dietrich Klakow (Insights@ACL, 2022)

Label-Descriptive Patterns and Their Application to Characterizing Classification Errors. - Michael A. Hedderich; Jonas Fischer; Dietrich Klakow; Jilles Vreeken (ICML, 2022)

MCSE: Multimodal Contrastive Learning of Sentence Embeddings. - Miaoran Zhang; Marius Mosbach; David Ifeoluwa Adelani; Michael A. Hedderich; Dietrich Klakow (NAACL-HLT, 2022)

Chatbots Facilitating Consensus-Building in Asynchronous Co-Design. - Joongi Shin; Michael A. Hedderich; Andrés Lucero; Antti Oulasvirta (UIST, 2022)

Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages. - Dawei Zhu; Michael A. Hedderich; Fangzhou Zhai; David Ifeoluwa Adelani; Dietrich Klakow (CoRR, 2022)

Weak supervision and label noise handling for Natural language processing in low-resource scenarios. - Michael A. Hedderich (2022)

Meta Self-Refinement for Robust Learning with Weak Supervision. - Dawei Zhu; Xiaoyu Shen 001; Michael A. Hedderich; Dietrich Klakow (EACL, 2023)

Understanding and Mitigating Classification Errors Through Interpretable Token Patterns. - Michael A. Hedderich; Jonas Fischer; Dietrich Klakow; Jilles Vreeken (CoRR, 2023)

SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures. - Adwait Sharma; Christina Salchow-Hömmen; Vimal Suresh Mollyn; Aditya Shekhar Nittala; Michael A. Hedderich; Marion Koelle; Thomas Seel; Jürgen Steimle (ACM Trans. Comput. Hum. Interact., 2023)

Understanding Human-AI Workflows for Generating Personas. - Joongi Shin; Michael A. Hedderich; Bartlomiej Jakub Rey; Andrés Lucero; Antti Oulasvirta (Conference on Designing Interactive Systems, 2024)

A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education. - Michael A. Hedderich; Natalie N. Bazarova; Wenting Zou; Ryun Shim; Xinda Ma; Qian Yang 004 (CHI, 2024)

The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. - Bolei Ma; Xinpeng Wang 003; Tiancheng Hu; Anna-Carolina Haensch; Michael A. Hedderich; Barbara Plank; Frauke Kreuter (EMNLP (Findings), 2024)

Understanding When Tree of Thoughts Succeeds: Larger Models Excel in Generation, Not Discrimination. - Qiqi Chen; Xinpeng Wang 003; Philipp Mondorf; Michael A. Hedderich; Barbara Plank (CoRR, 2024)

Semantic Component Analysis: Discovering Patterns in Short Texts Beyond Topics. - Florian Eichin; Carolin M. Schuster; Georg Groh; Michael A. Hedderich (CoRR, 2024)

Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Set. - Florian Eichin; Yang Janet Liu; Barbara Plank; Michael A. Hedderich (ACL (1), 2025)

What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns. - Michael A. Hedderich; Anyi Wang; Raoyuan Zhao; Florian Eichin; Jonas Fischer; Barbara Plank (ACL (1), 2025)

Explaining crowdworker behaviour through computational rationality. - Michael A. Hedderich; Antti Oulasvirta (Behav. Inf. Technol., 2025)

Facilitating Asynchronous Idea Generation and Selection with Chatbots. - Joongi Shin; Ankit Khatri; Michael A. Hedderich; Andrés Lucero; Antti Oulasvirta (CoRR, 2025)

What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns. - Michael A. Hedderich; Anyi Wang; Raoyuan Zhao; Florian Eichin; Barbara Plank (CoRR, 2025)

Grokking ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior. - Florian Eichin; Yupei Du; Philipp Mondorf; Barbara Plank; Michael A. Hedderich (CoRR, 2025)

Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead. - Jesujoba O. Alabi; Michael A. Hedderich; David Ifeoluwa Adelani; Dietrich Klakow (CoRR, 2025)

MAKIEval: A Multilingual Automatic WiKidata-based Framework for Cultural Awareness Evaluation for LLMs. - Raoyuan Zhao; Beiduo Chen; Barbara Plank; Michael A. Hedderich (CoRR, 2025)

Do We Know What LLMs Don't Know? A Study of Consistency in Knowledge Probing. - Raoyuan Zhao; Abdullatif Köksal; Ali Modarressi; Michael A. Hedderich; Hinrich Schütze (CoRR, 2025)