Shuzhou Yuan

33 papers A* 2B 2Misc 1Journal 20Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Analyzing Bias in False Refusal Behavior of Large Language Models for Hate Speech Detoxification.
CoRR
Kyuri Im, Shuzhou Yuan, Michael Farber
2026 J jnl
Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models.
CoRR
Hengyuan Zhang, Zhihao Zhang, Mingyang Wang, Zunhai Su, Yiwei Wang, Qianli Wang, Shuzhou Yuan, Ercong Nie, 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 Schütze, Xuanjing Huang, Qi Zhang, Ngai Wong
2026 A* conf
PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs.
AAAI
Zhan Qu, Shuzhou Yuan, Michael Färber
2026 — conf
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models.
EACL (Findings)
Konrad Löhr, Shuzhou Yuan, Michael Färber
2025 J jnl
Beyond Over-Refusal: Scenario-Based Diagnostics and Post-Hoc Mitigation for Exaggerated Refusals in LLMs.
CoRR
Shuzhou Yuan, Ercong Nie, Yinuo Sun, Chenxuan Zhao, William LaCroix, Michael Färber
2025 J jnl
CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation.
CoRR
Shuzhou Yuan, William LaCroix, Hardik Ghoshal, Ercong Nie, Michael Färber
2025 — conf
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models.
IJCNLP-AACL (Findings)
Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze
2025 — conf
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence.
KDD (1)
Zhan Qu, Shuzhou Yuan, Michael Färber, Marius Brennfleck, Niklas Wartha, Anton Stephan
2025 J jnl
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence.
CoRR
Zhan Qu, Shuzhou Yuan, Michael Färber, Marius Brennfleck, Niklas Wartha, Anton Stephan
2025 — conf
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks.
IJCNLP-AACL (Findings)
Shuzhou Yuan, Zhan Qu, Mario Tawfelis, Michael Färber
2025 J jnl
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks.
CoRR
Shuzhou Yuan, Zhan Qu, Mario Tawfelis, Michael Färber
2025 A* conf
Graph-Guided Textual Explanation Generation Framework.
EMNLP
Shuzhou Yuan, Jingyi Sun, Ran Zhang, Michael Färber, Steffen Eger, Pepa Atanasova, Isabelle Augenstein
2025 J jnl
Hallucinations Can Improve Large Language Models in Drug Discovery.
CoRR
Shuzhou Yuan, Michael Färber
2025 J jnl
Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models.
CoRR
Shuzhou Yuan, Ercong Nie, Mario Tawfelis, Helmut Schmid, Hinrich Schütze, Michael Färber
2025 — conf
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification.
IJCNLP-AACL (Findings)
Shuzhou Yuan, Ercong Nie, Lukas Kouba, Helmut Schmid, Hinrich Schütze, Michael Färber
2025 J jnl
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification.
CoRR
Shuzhou Yuan, Ercong Nie, Lukas Kouba, Ashish Yashwanth Kangen, Helmut Schmid, Hinrich Schütze, Michael Färber
2025 J jnl
PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs.
CoRR
Zhan Qu, Shuzhou Yuan, Michael Färber
2025 J jnl
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models.
CoRR
Konrad Löhr, Shuzhou Yuan, Michael Färber
2025 B conf
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers.
IJCNN
Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber
2024 J jnl
Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models.
CoRR
Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze
2024 — conf
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network.
ACL (Findings)
Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze
2024 J jnl
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network.
CoRR
Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze
2024 — conf
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism.
NAACL-HLT (Findings)
Shuzhou Yuan, Michael Färber
2024 J jnl
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism.
CoRR
Shuzhou Yuan, Michael Färber
2024 J jnl
Graph-Guided Textual Explanation Generation Framework.
CoRR
Shuzhou Yuan, Jingyi Sun, Ran Zhang, Michael Färber, Steffen Eger, Pepa Atanasova, Isabelle Augenstein
2024 — conf
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.
EACL (1)
Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze
2024 J jnl
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.
CoRR
Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze
2024 J jnl
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers.
CoRR
Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber
2023 J jnl
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation.
CoRR
Michael Färber, Melissa Coutinho, Shuzhou Yuan
2023 J jnl
Biases in scholarly recommender systems: impact, prevalence, and mitigation.
Scientometrics
Michael Färber, Melissa Coutinho, Shuzhou Yuan
2023 Misc conf
Evaluating Generative Models for Graph-to-Text Generation.
RANLP
Shuzhou Yuan, Michael Färber
2023 J jnl
Evaluating Generative Models for Graph-to-Text Generation.
CoRR
Shuzhou Yuan, Michael Färber
2022 B conf
Applying NLP Techniques to Classify Businesses by their International Standard Industrial Classification (ISIC) Code.
IEEE Big Data
Hannah Béchara, Ran Zhang, Shuzhou Yuan, Slava Jankin