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2020 – today
- 2025
[c7]Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber:
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers. IJCNN 2025: 1-8- [c6]Zhan Qu
, Shuzhou Yuan, Michael Färber, Marius Brennfleck, Niklas Wartha, Anton Stephan:
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence. KDD (1) 2025: 2504-2513 - [i17]Shuzhou Yuan, Michael Färber:
Hallucinations Can Improve Large Language Models in Drug Discovery. CoRR abs/2501.13824 (2025) - [i16]Zhan Qu, Shuzhou Yuan, Michael Färber, Marius Brennfleck, Niklas Wartha, Anton Stephan:
Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence. CoRR abs/2503.00518 (2025) - [i15]Shuzhou Yuan, Ercong Nie, Lukas Kouba, Ashish Yashwanth Kangen, Helmut Schmid, Hinrich Schütze, Michael Färber:
LLM in the Loop: Creating the ParaDeHate Dataset for Hate Speech Detoxification. CoRR abs/2506.01484 (2025) - [i14]Shuzhou Yuan, Ercong Nie, Mario Tawfelis, Helmut Schmid, Hinrich Schütze, Michael Färber:
Hateful Person or Hateful Model? Investigating the Role of Personas in Hate Speech Detection by Large Language Models. CoRR abs/2506.08593 (2025) - [i13]Shuzhou Yuan, Zhan Qu, Mario Tawfelis, Michael Färber:
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks. CoRR abs/2508.02502 (2025) - [i12]Zhan Qu, Shuzhou Yuan, Michael Färber:
PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs. CoRR abs/2508.02515 (2025) - [i11]Shuzhou Yuan, William LaCroix, Hardik Ghoshal, Ercong Nie, Michael Färber:
CoDAE: Adapting Large Language Models for Education via Chain-of-Thought Data Augmentation. CoRR abs/2508.08386 (2025) - [i10]Shuzhou Yuan, Ercong Nie, Yinuo Sun, Chenxuan Zhao, William LaCroix, Michael Färber:
Beyond Over-Refusal: Scenario-Based Diagnostics and Post-Hoc Mitigation for Exaggerated Refusals in LLMs. CoRR abs/2510.08158 (2025) - [i9]Konrad Löhr, Shuzhou Yuan, Michael Färber:
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models. CoRR abs/2510.08236 (2025) - 2024
- [c5]Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze:
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network. ACL (Findings) 2024: 3987-4001 - [c4]Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze:
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. EACL (1) 2024: 2685-2702 - [c3]Shuzhou Yuan, Michael Färber:
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism. NAACL-HLT (Findings) 2024: 920-933 - [i8]Bolei Ma, Ercong Nie, Shuzhou Yuan, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze:
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks. CoRR abs/2401.16589 (2024) - [i7]Shuzhou Yuan, Ercong Nie, Bolei Ma, Michael Färber:
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers. CoRR abs/2402.11700 (2024) - [i6]Shuzhou Yuan, Ercong Nie, Michael Färber, Helmut Schmid, Hinrich Schütze:
GNNavi: Navigating the Information Flow in Large Language Models by Graph Neural Network. CoRR abs/2402.11709 (2024) - [i5]Ercong Nie, Shuzhou Yuan, Bolei Ma, Helmut Schmid, Michael Färber, Frauke Kreuter, Hinrich Schütze:
Decomposed Prompting: Unveiling Multilingual Linguistic Structure Knowledge in English-Centric Large Language Models. CoRR abs/2402.18397 (2024) - [i4]Shuzhou Yuan, Michael Färber:
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism. CoRR abs/2404.06911 (2024) - [i3]Shuzhou Yuan, Jingyi Sun, Ran Zhang, Michael Färber, Steffen Eger, Pepa Atanasova, Isabelle Augenstein:
Graph-Guided Textual Explanation Generation Framework. CoRR abs/2412.12318 (2024) - 2023
- [j1]Michael Färber, Melissa Coutinho, Shuzhou Yuan:
Biases in scholarly recommender systems: impact, prevalence, and mitigation. Scientometrics 128(5): 2703-2736 (2023) - [c2]Shuzhou Yuan, Michael Färber:
Evaluating Generative Models for Graph-to-Text Generation. RANLP 2023: 1256-1264 - [i2]Michael Färber, Melissa Coutinho, Shuzhou Yuan:
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation. CoRR abs/2301.07483 (2023) - [i1]Shuzhou Yuan, Michael Färber:
Evaluating Generative Models for Graph-to-Text Generation. CoRR abs/2307.14712 (2023) - 2022
- [c1]Hannah Béchara, Ran Zhang, Shuzhou Yuan, Slava Jankin:
Applying NLP Techniques to Classify Businesses by their International Standard Industrial Classification (ISIC) Code. IEEE Big Data 2022: 3472-3477
Coauthor Index
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