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2020 – today
- 2025
[i9]Shuzhou Yuan, Michael Färber:
Hallucinations Can Improve Large Language Models in Drug Discovery. CoRR abs/2501.13824 (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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