Shuzhou Yuan

According to our database, Shuzhou Yuan authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

CoRR, June, 2025

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

CoRR, June, 2025

Hallucinations Can Improve Large Language Models in Drug Discovery.

Shuzhou Yuan, Michael Färber

CoRR, January, 2025

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, V.1, 2025

2024

Graph-Guided Textual Explanation Generation Framework.

Shuzhou Yuan, Jingyi Sun, Ran Zhang, Michael Färber, Steffen Eger, Pepa Atanasova, Isabelle Augenstein

CoRR, 2024

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

CoRR, 2024

Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers.

Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber

CoRR, 2024

GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism.

Shuzhou Yuan, Michael Färber

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 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 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network.

Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Biases in scholarly recommender systems: impact, prevalence, and mitigation.

Michael Färber, Melissa Coutinho, Shuzhou Yuan

Scientometrics, May, 2023

Evaluating Generative Models for Graph-to-Text Generation.

Shuzhou Yuan, Michael Färber

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

2022

Applying NLP Techniques to Classify Businesses by their International Standard Industrial Classification (ISIC) Code.

Hannah Béchara, Ran Zhang, Shuzhou Yuan, Slava Jankin

Proceedings of the IEEE International Conference on Big Data, 2022