| 2026 | AAAI | PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs. | Zhan Qu, Shuzhou Yuan, Michael Frber |
| 2026 | ACL | Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models. | Hengyuan Zhang, Zhihao Zhang, Ercong Nie, Mingyang Wang, Zunhai Su, Yiwei Wang, Qianli Wang, Shuzhou Yuan, Xufeng Duan, Qibo Xue, Zeping Yu, Chenming Shang, Xiao Liang, Jing Xiong, Hui Shen, Chaofan Tao, Zhengwu Liu, Senjie Jin, Zhiheng Xi, Dongdong Zhang, Sophia Ananiadou, Tao Gui, Ruobing Xie, Hayden Kwok-Hay So, Hinrich Schtze, Xuanjing Huang, Qi Zhang, Ngai Wong |
| 2026 | EACL | The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models. | Konrad Lhr, Shuzhou Yuan, Michael Frber |
| 2026 | LREC | CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation. | Shuzhou Yuan, William LaCroix, Hardik Ghoshal, Ercong Nie, Michael Frber |
| 2025 | EMNLP | Graph-Guided Textual Explanation Generation Framework. | Shuzhou Yuan, Jingyi Sun, Ran Zhang, Michael Frber, Steffen Eger, Pepa Atanasova, Isabelle Augenstein |
| 2025 | IJCNLP | Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models. | Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Frber, Frauke Kreuter, Hinrich Schtze |
| 2025 | IJCNLP | LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification. | Shuzhou Yuan, Ercong Nie, Lukas Kouba, Helmut Schmid, Hinrich Schtze, Michael Frber |
| 2025 | IJCNLP | From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks. | Shuzhou Yuan, Zhan Qu, Mario Tawfelis, Michael Frber |
| 2025 | IJCNN | Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers. | Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Frber |
| 2025 | KDD | Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence. | Zhan Qu, Shuzhou Yuan, Michael Frber, Marius Brennfleck, Niklas Wartha, Anton Stephan |
| 2024 | ACL | GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network. | Shuzhou Yuan, Ercong Nie, Michael Frber, Helmut Schmid, Hinrich Schtze |
| 2024 | EACL | ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. | Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Frber, Frauke Kreuter, Hinrich Schtze |
| 2024 | NAACL | GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism. | Shuzhou Yuan, Michael Frber |
| 2023 | RANLP | Evaluating Generative Models for Graph-to-Text Generation. | Shuzhou Yuan, Michael Frber |