Publications
2025
Graph-Guided Textual Explanation Generation Framework
Shuzhou Yuan, Jingyi Sun, Ran Zhang, Michael Färber, Steffen Eger, Pepa Atanasova, Isabelle Augenstein
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models
Shuzhou Yuan, Ercong Nie, Mario Tawfelis, Helmut Schmid, Hinrich Schütze, Michael Färber
PALS workshop at EMNLP 2025
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers
Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber
2025 International Joint Conference on Neural Networks (IJCNN)
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence
Zhan Qu, Shuzhou Yuan, Michael Färber, Marius Brennfleck, Niklas Wartha, Anton Stephan
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs
Zhan Qu, Shuzhou Yuan, Michael Färber
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2026)
LLM in the Loop: Creating the PARADEHATE Dataset for Hate Speech Detoxification
Shuzhou Yuan, Ercong Nie, Lukas Kouba, Ashish Yashwanth Kangen, Helmut Schmid, Hinrich Schütze, Michael Färber
IJCNLP-AACL 2025 Findings
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks
Shuzhou Yuan, Zhan Qu, Mario Tawfelis, Michael Färber
IJCNLP-AACL 2025 Findings
Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models
Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze
IJCNLP-AACL 2025 Findings
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models
Konrad Löhr, Shuzhou Yuan, Michael Färber
arXiv preprint
CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation
Shuzhou Yuan, William LaCroix, Hardik Ghoshal, Ercong Nie, Michael Färber
arXiv preprint
Hallucinations Can Improve Large Language Models in Drug Discovery
Shuzhou Yuan, Michael Färber
arXiv preprint
2024
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network
Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze
Findings of the Association for Computational Linguistics (ACL) 2024
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-Guided Self-Attention Mechanism
Shuzhou Yuan and Michael Färber
Findings of the North American Chapter of the Association for Computational Linguistics (NAACL) 2024
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks
Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze
Proceedings of the European Chapter of the Association for Computational Linguistics (EACL) 2024
2023
Evaluating Generative Models for Graph-to-Text Generation
Shuzhou Yuan and Michael Färber
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing (RANLP 2023)
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation
Michael Färber, Mariana Coutinho, and Shuzhou Yuan
Scientometrics, 128(5), 2703-2736
2022
Separating Hate Speech and Offensive Language Classes via Adversarial Debiasing
Shuzhou Yuan, Antonis Maronikolakis, and Hinrich Schütze
Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH 2022)
Applying NLP Techniques to Classify Businesses by their International Standard Industrial Classification (ISIC) Code
Henri Béchara, Ran Zhang, Shuzhou Yuan, and Slava Jankin
2022 IEEE International Conference on Big Data (Big Data)