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ORCIDMichael A. Hedderich
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2020 – today
- 2025
[j2]Michael A. Hedderich, Antti Oulasvirta
:
Explaining crowdworker behaviour through computational rationality. Behav. Inf. Technol. 44(3): 552-573 (2025)- [c24]Florian Eichin, Yang Janet Liu, Barbara Plank, Michael A. Hedderich:
Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Set. ACL (1) 2025: 18665-18684 - [c23]Michael A. Hedderich, Anyi Wang, Raoyuan Zhao, Florian Eichin, Jonas Fischer, Barbara Plank:
What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns. ACL (1) 2025: 20093-20123 - [c22]Jesujoba Oluwadara Alabi, Michael A. Hedderich, David Ifeoluwa Adelani, Dietrich Klakow:
Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead. EMNLP 2025: 27807-27841 - [i32]Joongi Shin, Ankit Khatri, Michael A. Hedderich, Andrés Lucero, Antti Oulasvirta:
Facilitating Asynchronous Idea Generation and Selection with Chatbots. CoRR abs/2503.03617 (2025) - [i31]Florian Eichin, Yang Janet Liu, Barbara Plank, Michael A. Hedderich:
Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Set. CoRR abs/2503.10515 (2025) - [i30]Michael A. Hedderich, Anyi Wang, Raoyuan Zhao, Florian Eichin, Barbara Plank:
What's the Difference? Supporting Users in Identifying the Effects of Prompt and Model Changes Through Token Patterns. CoRR abs/2504.15815 (2025) - [i29]Florian Eichin, Yupei Du, Philipp Mondorf, Barbara Plank, Michael A. Hedderich:
Grokking ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior. CoRR abs/2505.20076 (2025) - [i28]Jesujoba O. Alabi, Michael A. Hedderich, David Ifeoluwa Adelani, Dietrich Klakow:
Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead. CoRR abs/2505.21315 (2025) - [i27]Raoyuan Zhao, Beiduo Chen, Barbara Plank, Michael A. Hedderich:
MAKIEval: A Multilingual Automatic WiKidata-based Framework for Cultural Awareness Evaluation for LLMs. CoRR abs/2505.21693 (2025) - [i26]Raoyuan Zhao, Abdullatif Köksal, Ali Modarressi, Michael A. Hedderich, Hinrich Schütze:
Do We Know What LLMs Don't Know? A Study of Consistency in Knowledge Probing. CoRR abs/2505.21701 (2025) - [i25]Yihong Liu, Raoyuan Zhao, Lena Altinger, Hinrich Schütze, Michael A. Hedderich:
Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors. CoRR abs/2510.09536 (2025) - [i24]Raoyuan Zhao, Yihong Liu, Hinrich Schütze, Michael A. Hedderich:
A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across Languages. CoRR abs/2510.09555 (2025) - [i23]Jian Lan, Zhicheng Liu, Udo Schlegel, Raoyuan Zhao, Yihong Liu, Hinrich Schütze, Michael A. Hedderich, Thomas Seidl:
Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering. CoRR abs/2510.11295 (2025) - [i22]Pedro Henrique Luz de Araujo, Michael A. Hedderich, Ali Modarressi, Hinrich Schütze, Benjamin Roth:
Persistent Personas? Role-Playing, Instruction Following, and Safety in Extended Interactions. CoRR abs/2512.12775 (2025) - 2024
- [c21]Joongi Shin, Michael A. Hedderich, Bartlomiej Jakub Rey, Andrés Lucero, Antti Oulasvirta:
Understanding Human-AI Workflows for Generating Personas. Conference on Designing Interactive Systems 2024 - [c20]Michael A. Hedderich, Natalie N. Bazarova, Wenting Zou, Ryun Shim, Xinda Ma, Qian Yang:
A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education. CHI 2024: 668:1-668:17 - [c19]Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter:
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. EMNLP (Findings) 2024: 8783-8805 - [c18]Joongi Shin, Ankit Khatri, Michael A. Hedderich, Andrés Lucero, Antti Oulasvirta:
Facilitating Asynchronous Idea Generation and Selection with Chatbots. OZCHI 2024: 305-323 - [i21]Michael A. Hedderich, Natalie N. Bazarova, Wenting Zou, Ryun Shim, Xinda Ma, Qian Yang:
A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education. CoRR abs/2402.17456 (2024) - [i20]Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter:
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. CoRR abs/2406.11096 (2024) - [i19]Qiqi Chen, Xinpeng Wang, Philipp Mondorf, Michael A. Hedderich, Barbara Plank:
Understanding When Tree of Thoughts Succeeds: Larger Models Excel in Generation, Not Discrimination. CoRR abs/2410.17820 (2024) - [i18]Florian Eichin, Carolin M. Schuster, Georg Groh, Michael A. Hedderich:
Semantic Component Analysis: Discovering Patterns in Short Texts Beyond Topics. CoRR abs/2410.21054 (2024) - 2023
- [j1]Adwait Sharma, Christina Salchow-Hömmen, Vimal Suresh Mollyn, Aditya Shekhar Nittala, Michael A. Hedderich, Marion Koelle, Thomas Seel, Jürgen Steimle:
SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures. ACM Trans. Comput. Hum. Interact. 30(3): 39:1-39:40 (2023) - [c17]Dawei Zhu, Xiaoyu Shen, Michael A. Hedderich, Dietrich Klakow:
Meta Self-Refinement for Robust Learning with Weak Supervision. EACL 2023: 1043-1058 - [i17]Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken:
Understanding and Mitigating Classification Errors Through Interpretable Token Patterns. CoRR abs/2311.10920 (2023) - 2022
- [b1]Michael A. Hedderich:
Weak supervision and label noise handling for Natural language processing in low-resource scenarios. Saarland University, Saarbrücken, Germany, 2022 - [c16]Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow:
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification. Insights@ACL 2022: 62-67 - [c15]Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken:
Label-Descriptive Patterns and Their Application to Characterizing Classification Errors. ICML 2022: 8691-8707 - [c14]Miaoran Zhang, Marius Mosbach, David Ifeoluwa Adelani, Michael A. Hedderich, Dietrich Klakow:
MCSE: Multimodal Contrastive Learning of Sentence Embeddings. NAACL-HLT 2022: 5959-5969 - [c13]Joongi Shin, Michael A. Hedderich, Andrés Lucero, Antti Oulasvirta:
Chatbots Facilitating Consensus-Building in Asynchronous Co-Design. UIST 2022: 78:1-78:13 - [i16]Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow:
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification. CoRR abs/2204.09371 (2022) - [i15]Miaoran Zhang, Marius Mosbach, David Ifeoluwa Adelani, Michael A. Hedderich, Dietrich Klakow:
MCSE: Multimodal Contrastive Learning of Sentence Embeddings. CoRR abs/2204.10931 (2022) - [i14]Dawei Zhu, Xiaoyu Shen, Michael A. Hedderich, Dietrich Klakow:
Meta Self-Refinement for Robust Learning with Weak Supervision. CoRR abs/2205.07290 (2022) - [i13]Dawei Zhu, Michael A. Hedderich, Fangzhou Zhai, David Ifeoluwa Adelani, Dietrich Klakow:
Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages. CoRR abs/2206.01476 (2022) - 2021
- [c12]Michael A. Hedderich, Dawei Zhu, Dietrich Klakow:
Analysing the Noise Model Error for Realistic Noisy Label Data. AAAI 2021: 7675-7684 - [c11]Adwait Sharma, Michael A. Hedderich, Divyanshu Bhardwaj, Bruno Fruchard, Jess McIntosh, Aditya Shekhar Nittala, Dietrich Klakow, Daniel Ashbrook, Jürgen Steimle:
SoloFinger: Robust Microgestures while Grasping Everyday Objects. CHI 2021: 744:1-744:15 - [c10]Fech Scen Khoo, Dawei Zhu, Michael A. Hedderich, Dietrich Klakow:
Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression. ESANN 2021 - [c9]Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. NAACL-HLT 2021: 2545-2568 - [i12]Michael A. Hedderich, Dawei Zhu, Dietrich Klakow:
Analysing the Noise Model Error for Realistic Noisy Label Data. CoRR abs/2101.09763 (2021) - [i11]Michael A. Hedderich, Lukas Lange, Dietrich Klakow:
ANEA: Distant Supervision for Low-Resource Named Entity Recognition. CoRR abs/2102.13129 (2021) - [i10]Michael A. Hedderich, Benjamin Roth, Katharina Kann, Barbara Plank, Alex Ratner, Dietrich Klakow:
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL). CoRR abs/2107.03690 (2021) - [i9]Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken:
Label-Descriptive Patterns and their Application to Characterizing Classification Errors. CoRR abs/2110.09599 (2021) - 2020
- [c8]Marius Mosbach, Anna Khokhlova, Michael A. Hedderich, Dietrich Klakow:
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers. BlackboxNLP@EMNLP 2020: 68-82 - [c7]Marius Mosbach, Anna Khokhlova, Michael A. Hedderich, Dietrich Klakow:
On the Interplay Between Fine-tuning and Sentence-Level Probing for Linguistic Knowledge in Pre-Trained Transformers. EMNLP (Findings) 2020: 2502-2516 - [c6]Michael A. Hedderich, David Ifeoluwa Adelani, Dawei Zhu, Jesujoba O. Alabi, Udia Markus, Dietrich Klakow:
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages. EMNLP (1) 2020: 2580-2591 - [c5]David Ifeoluwa Adelani, Michael A. Hedderich, Dawei Zhu, Esther van den Berg, Dietrich Klakow:
Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá. AfricaNLP 2020 - [i8]Gabriele Bettgenhäuser, Michael A. Hedderich, Dietrich Klakow:
Learning Functions to Study the Benefit of Multitask Learning. CoRR abs/2006.05561 (2020) - [i7]Marius Mosbach, Anna Khokhlova, Michael A. Hedderich, Dietrich Klakow:
On the Interplay Between Fine-tuning and Sentence-level Probing for Linguistic Knowledge in Pre-trained Transformers. CoRR abs/2010.02616 (2020) - [i6]Michael A. Hedderich, David Ifeoluwa Adelani, Dawei Zhu, Jesujoba O. Alabi, Udia Markus, Dietrich Klakow:
Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages. CoRR abs/2010.03179 (2020) - [i5]Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, Dietrich Klakow:
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. CoRR abs/2010.12309 (2020)
2010 – 2019
- 2019
- [c4]Lukas Lange, Michael A. Hedderich, Dietrich Klakow:
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. EMNLP/IJCNLP (1) 2019: 3552-3557 - [c3]Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo:
Using Multi-Sense Vector Embeddings for Reverse Dictionaries. IWCS (1) 2019: 247-258 - [c2]Debjit Paul, Mittul Singh, Michael A. Hedderich, Dietrich Klakow:
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling. NAACL-HLT (Student Research Workshop) 2019: 29-34 - [i4]Debjit Paul, Mittul Singh, Michael A. Hedderich, Dietrich Klakow:
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling. CoRR abs/1903.12008 (2019) - [i3]Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo:
Using Multi-Sense Vector Embeddings for Reverse Dictionaries. CoRR abs/1904.01451 (2019) - [i2]Lukas Lange, Michael A. Hedderich, Dietrich Klakow:
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. CoRR abs/1910.06061 (2019) - 2018
- [c1]Michael A. Hedderich, Dietrich Klakow:
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data. DeepLo@ACL 2018: 12-18 - [i1]Michael A. Hedderich, Dietrich Klakow:
Training a Neural Network in a Low-Resource Setting on Automatically Annotated Noisy Data. CoRR abs/1807.00745 (2018)
Coauthor Index
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