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Steffen Staab

  1. Knowledge Graphs
    2020/03/04 by Aidan Hogan, Eva Blomqvist, Michael Cochez +17 · 3 voices · 130 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Data Quality and Management #Machine Learning and Algorithms
  2. The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs
    2025/09/11 by Akshit Sinha, Sinha, Akshit, Arvindh Arun +7 · 14 voices · 15 citations
    Computer Science · #Topic Modeling #Explainable Artificial Intelligence (XAI) #Natural Language Processing Techniques
  3. Pseudo-Riemannian Graph Convolutional Networks
    2021/06/06 by Bo Xiong, Xiong, Bo, Shichao Zhu +9 · 5 citations
    Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Morphological variations and asymmetry
  4. LLMs4Life: Large Language Models for Ontology Learning in Life Sciences
    2024/12/02 by Nadeen Fathallah, Fathallah, Nadeen, Steffen Staab +3 · 6 citations
    Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research
  5. Voting Behaviour and Power in Online Democracy: A Study of\n LiquidFeedback in Germany's Pirate Party
    2015/03/26 by Christoph Kling, Kling, Christoph Carl, Jérôme Kunegis +8 · 1 citation
    Decision Sciences · Economics, Econometrics and Finance · Physics and Astronomy · Social Sciences · #Computers and Society (cs.CY) #Electoral Systems and Political Participation #FOS: Computer and information sciences #Game Theory and Applications #Game Theory and Voting Systems #K.4.1 #Opinion Dynamics and Social Influence #Social Media and Politics #Social and Information Networks (cs.SI)
  6. Shrinking Embeddings for Hyper-Relational Knowledge Graphs
    2023/06/03 by Bo Xiong, Xiong, Bo, Mojtaba Nayyer +5 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Topic Modeling
  7. Is Complex Query Answering Really Complex?
    2024/10/16 by Cosimo Gregucci, Gregucci, Cosimo, Bo Xiong +11 · 2 voices · 2 citations
    #cs.LG #cs.AI
  8. Predictive Multiplicity of Knowledge Graph Embeddings in Link Prediction
    2024/08/15 by Yuqicheng Zhu, Zhu, Yuqicheng, Nico Potyka +11 · 4 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #FOS: Computer and information sciences
  9. Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction
    2021/03/11 by Alexandra Baier, Zeyd Boukhers, Baier, Alexandra +3 · 1 citation
    Engineering · Physics and Astronomy · #Aerodynamics and Fluid Dynamics Research #Engineering Applied Research #FOS: Computer and information sciences #Hydraulic and Pneumatic Systems #Machine Fault Diagnosis Techniques #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Vehicle Dynamics and Control Systems
  10. Conformalized Answer Set Prediction for Knowledge Graph Embedding
    2024/08/15 by Yuqicheng Zhu, Zhu, Yuqicheng, Nico Potyka +11 · 3 voices · 2 citations
    #cs.AI
  11. FutureSim: Replaying World Events to Evaluate Adaptive Agents
    2026/05/14 by Shashwat Goel, Nikhil Chandak, Arvindh Arun +5 · 2 voices
    Computer Science · #cs.LG #cs.AI #cs.CL
  12. Faithiful Embeddings for EL++ Knowledge Bases
    2022/01/24 by Bo Xiong, Xiong, Bo, Nico Potyka +7 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Bioinformatics and Genomic Networks #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG) #Topic Modeling
  13. SEMMA: A Semantic Aware Knowledge Graph Foundation Model
    2025/05/26 by Arvindh Arun, Arun, Arvindh, Sumit Kumar +11 · 3 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Semantic Web and Ontologies
  14. Explanation Shift: How Did the Distribution Shift Impact the Model?
    2023/03/14 by Carlos Mougan, Klaus Broelemann, Mougan, Carlos +8 · 1 citation
    Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Time Series Analysis and Forecasting
  15. Robust Visual Representation Learning with Multi-modal Prior Knowledge for Image Classification Under Distribution Shift
    2024/10/21 by Hongkuan Zhou, Lavdim Halilaj, Zhou, Hongkuan +11 · 3 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques #Image Retrieval and Classification Techniques
  16. Generating SROI- Ontologies via Knowledge Graph Query Embedding Learning
    2024/07/12 by Yunjie He, He, Yunjie, Daniel Hernández +11 · 1 citation
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Data Quality and Management #Databases (cs.DB) #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG) #Rough Sets and Fuzzy Logic #Semantic Web and Ontologies
  17. MBFair: a model-based verification methodology for detecting violations of individual fairness
    2024/06/10 by Qusai Ramadan, Marco Konersmann, Amir Shayan Ahmadian +2 · 1 voice · 1 citation
    Engineering · Social Sciences · Computer Science · #Safety Systems Engineering in Autonomy #Ethics and Social Impacts of AI #Adversarial Robustness in Machine Learning
  18. DAGE: DAG Query Answering via Relational Combinator with Logical Constraints
    2024/10/29 by Yinghua He, Bo Xiong, He, Yunjie +9 · 1 citation
    Computer Science · #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #Data Management and Algorithms #Databases (cs.DB) #FOS: Computer and information sciences #Semantic Web and Ontologies
  19. TempBEV: Improving Learned BEV Encoders with Combined Image and BEV Space Temporal Aggregation
    2024/04/17 by Thomas Monninger, Monninger, Thomas, Vandana Dokkadi +5 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Robotics (cs.RO)
  20. Retrieval-Augmented Generation of Ontologies from Relational Databases
    2025/06/02 by Nadeen Fathallah, Nayyeri, Mojtaba, Mojtaba Nayyeri +12 · 1 citation
    Computer Science · #Semantic Web and Ontologies #Data Mining Algorithms and Applications #Service-Oriented Architecture and Web Services
  21. From Tokens to Lattices: Emergent Lattice Structures in Language Models
    2025/04/04 by Bo Xiong, Steffen Staab, Xiong, Bo +1 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
  22. Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness
    2025/04/07 by Dongzhuoran Zhou, Yuqicheng Zhu, Zhou, Dongzhuoran +11 · 4 citations
    Computer Science · #Topic Modeling #Advanced Graph Neural Networks #Multimodal Machine Learning Applications
  23. Robust Knowledge Extraction from Large Language Models using Social Choice Theory
    2023/12/22 by Nico Potyka, Potyka, Nico, Yuqicheng Zhu +7 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Recommender Systems and Techniques #Topic Modeling
  24. What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge
    2025/08/11 by Dongzhuoran Zhou, Yuqicheng Zhu, Zhou, Dongzhuoran +13 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Multimodal Machine Learning Applications
  25. Observing and Recommending from a Social Web with Biases
    2016/04/25 by Steffen Staab, Sophie Stalla-Bourdillon, Staab, Steffen +3 · 1 citation
    Computer Science · Social Sciences · #Imbalanced Data Classification Techniques #Ethics and Social Impacts of AI #Privacy-Preserving Technologies in Data
  26. Empowering the Deaf and Hard of Hearing Community: Enhancing Video Captions Using Large Language Models
    2024/11/30 by Nadeen Fathallah, Fathallah, Nadeen, Monika Bhole +3 · 1 citation
    Arts and Humanities · Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Subtitles and Audiovisual Media
  27. STEREODISCO: Discovering Stereotypicality in LLMs
    2026/07/30 by Farane Jalali Farahani, Corina Dima, Mojtaba Nayyeri +2
    Computer Science · #cs.AI #cs.LG
  28. An Ontology for Machine Learning Interatomic Potentials
    2026/07/25 by Daniel Hernández, Jong Hyun Jung, Yuji Ikeda +11
    #cs.AI #cs.DB #cs.DL
  29. Causality and Minimal Supports in Recursive Datalog
    2026/07/17 by Ratan Bahadur Thapa, Steffen Staab
    #cs.DB