| 2026 | ACL | Large Reasoning Models Are (Not Yet) Multilingual Latent Reasoners. | Yihong Liu, Raoyuan Zhao, Hinrich Schtze, Michael A. Hedderich |
| 2026 | ACL | From Weights to Activations: Is Steering the Next Frontier of Adaptation? | Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, Michael A. Hedderich, Sebastian Lapuschkin, Wojciech Samek, Vera Schmitt |
| 2026 | ACL | Linear Script Representations in Speech Foundation Models Enable Zero-Shot Transliteration. | Ryan Soh-Eun Shim, Kwanghee Choi, Kalvin Chang, Ming-Hao Hsu, Florian Eichin, Zhizheng Wu, Alane Suhr, Michael A. Hedderich, David Harwath, David R. Mortensen, Barbara Plank |
| 2026 | ACL | AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African Languages. | Hao Yu, Tianyi Xu, Michael A. Hedderich, Wassim Hamidouche, Syed Waqas Zamir, David Ifeoluwa Adelani |
| 2026 | ACL | Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors. | Raoyuan Zhao, Yihong Liu, Lena Altinger, Hinrich Schtze, Michael A. Hedderich |
| 2026 | EACL | Persistent Personas? Role-Playing, Instruction Following, and Safety in Extended Interactions. | Pedro Henrique Luz de Araujo, Michael A. Hedderich, Ali Modarressi, Hinrich Schtze, Benjamin Roth |
| 2026 | EACL | A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across Languages. | Raoyuan Zhao, Yihong Liu, Hinrich Schtze, Michael A. Hedderich |
| 2025 | ACL | Probing LLMs for Multilingual Discourse Generalization Through a Unified Label Set. | Florian Eichin, Yang Janet Liu, Barbara Plank, Michael A. Hedderich |
| 2025 | ACL | 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 |
| 2025 | EMNLP | Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead. | Jesujoba Oluwadara Alabi, Michael A. Hedderich, David Ifeoluwa Adelani, Dietrich Klakow |
| 2025 | EMNLP | Semantic Component Analysis: Introducing Multi-Topic Distributions to Clustering-Based Topic Modeling. | Florian Eichin, Carolin M. Schuster, Georg Groh, Michael A. Hedderich |
| 2025 | EMNLP | MAKIEval: A Multilingual Automatic WiKidata-based Framework for Cultural Awareness Evaluation for LLMs. | Raoyuan Zhao, Beiduo Chen, Barbara Plank, Michael A. Hedderich |
| 2025 | EMNLP | Do We Know What LLMs Don't Know? A Study of Consistency in Knowledge Probing. | Raoyuan Zhao, Abdullatif Kksal, Ali Modarressi, Michael A. Hedderich, Hinrich Schtze |
| 2024 | CHI | 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 |
| 2024 | EMNLP | The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models. | Bolei Ma, Xinpeng Wang, Tiancheng Hu, Anna-Carolina Haensch, Michael A. Hedderich, Barbara Plank, Frauke Kreuter |
| 2024 | OZCHI | Facilitating Asynchronous Idea Generation and Selection with Chatbots. | Joongi Shin, Ankit Khatri, Michael A. Hedderich, Andrs Lucero, Antti Oulasvirta |
| 2023 | EACL | Meta Self-Refinement for Robust Learning with Weak Supervision. | Dawei Zhu, Xiaoyu Shen, Michael A. Hedderich, Dietrich Klakow |
| 2022 | ICML | Label-Descriptive Patterns and Their Application to Characterizing Classification Errors. | Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken |
| 2022 | NAACL | MCSE: Multimodal Contrastive Learning of Sentence Embeddings. | Miaoran Zhang, Marius Mosbach, David Ifeoluwa Adelani, Michael A. Hedderich, Dietrich Klakow |
| 2022 | UIST | Chatbots Facilitating Consensus-Building in Asynchronous Co-Design. | Joongi Shin, Michael A. Hedderich, Andrs Lucero, Antti Oulasvirta |
| 2021 | AAAI | Analysing the Noise Model Error for Realistic Noisy Label Data. | Michael A. Hedderich, Dawei Zhu, Dietrich Klakow |
| 2021 | CHI | 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, Jrgen Steimle |
| 2021 | ESANN | Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression. | Fech Scen Khoo, Dawei Zhu, Michael A. Hedderich, Dietrich Klakow |
| 2021 | NAACL | A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios. | Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strtgen, Dietrich Klakow |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | 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 |
| 2019 | EMNLP | Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels. | Lukas Lange, Michael A. Hedderich, Dietrich Klakow |
| 2019 | NAACL | Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling. | Debjit Paul, Mittul Singh, Michael A. Hedderich, Dietrich Klakow |