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Author

Steffen Staab

The Illusion of Diminishing Returns: Measuring Long Horizon Execution in LLMs
2025 · Sinha, Akshit, Arun, Arvindh, et al. · arXiv (Cornell University) · 1
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An Ontology for Machine Learning Interatomic Potentials
2026 · Daniel Hernández, Jong Hyun Jung, et al. · ceur-ws.org
ProbSPARQL: Querying Knowledge Graphs with Multi-Dimensional, Uncertain Numeric Data
2026 · Jingcheng Wu, Ratan Bahadur Thapa, et al. · Lecture notes in computer science
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FITTER: Vocabulary-Agnostic Cross-Domain Inference on Temporal Knowledge Graphs
2026 · Jiaxin Pan, Mojtaba Nayyeri, et al. · Lecture notes in computer science
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Likelihood-Free Bayesian Symbolic Regression for Discovery of Stochastic Differential Equations
2026 · Tim Schneider, Daniel M. Tartakovsky, et al. · Lecture notes in computer science
Residuals Are Not Enough: Limits of Physics-Informed Pre-training for Scientific Foundation Models
2026 · Serge Kotchourko, Amin Totounferoush, et al. · Lecture notes in computer science
MERIT: Scaling KG Foundation Models with Relation Transformers
2026 · Gregucci, Cosimo, Hernandez, Daniel, et al. · arXiv (Cornell University)
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Faithful box embeddings for linear temporal EL+
2026 · Hernández, Daniel, Pan, Jiaxin, et al. · ePrints Soton (University of Southampton)
Causal Explanations for Stratified Datalog
2026 · Thapa, Ratan Bahadur, Staab, Steffen · arXiv (Cornell University)
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STEREODISCO: Discovering Stereotypicality in LLMs
2026 · Farahani, Farane Jalali, Dima, Corina, et al. · arXiv (Cornell University)
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FITTER: vocabulary-agnostic inference on temporal knowledge graphs
2026 · Pan, Jiaxin, Nayyeri, Mojtaba, et al. · ePrints Soton (University of Southampton)
An Ontology for Machine Learning Interatomic Potentials
2026 · Hernández, Daniel, Jung, Jong Hyun, et al. · arXiv (Cornell University)
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Causality and Minimal Supports in Recursive Datalog
2026 · Thapa, Ratan Bahadur, Staab, Steffen · ePrints Soton (University of Southampton)
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GRATE: Temporal Extensions for Inductive KG Foundation Models via Gated Rotary Attention
2026 · Pan, Jiaxin, Mohammed, Osama, et al. · arXiv (Cornell University)
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SCAIR: schema-conditioned agentic iterative reasoning for enterprise knowledge graphs
2026 · Chaturvedi, Prateek, Zhu, Yuqicheng, et al. · ePrints Soton (University of Southampton)
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On the Semantics of Generative SPARQL
2026 · Thapa, Ratan Bahadur, Staab, Steffen · arXiv (Cornell University)
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Transforming Shape Schemas with Composable Property-Graph Queries (Extended Version)
2026 · Seifer, Philipp, Hernández, Daniel, et al. · arXiv (Cornell University)
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SCAIR: Schema-Conditioned Agentic Iterative Reasoning for Enterprise Knowledge Graphs
2026 · Association for Computational Linguistics 2026, Chaturvedi, Prateek, et al. · Underline Science Inc.
SCAIR: Schema-Conditioned Agentic Iterative Reasoning for Enterprise Knowledge Graphs
2026 · Chaturvedi, Prateek, Zhu, Yuqicheng, et al. · arXiv (Cornell University)
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Ex-GraphRAG: Interpretable Evidence Routing for Graph-Augmented LLMs
2026 · Sade, Yoav Kor, Arun, Arvindh, et al. · arXiv (Cornell University)
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KAPPS: A knowledge-based CPPS Architecture for the Circular Factory
2026 · Hoffmann, Etienne, Klein, Jan-Felix, et al. · arXiv (Cornell University)
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FutureSim: Replaying World Events to Evaluate Adaptive Agents
2026 · Goel, Shashwat, Chandak, Nikhil, et al. · arXiv (Cornell University)
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From GPT to Mistral: cross-domain ontology learning with NeOn-GPT
2026 · Fatallah, Nadeen, Das, Arunav, et al. · ePrints Soton (University of Southampton)
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What Breaks Knowledge Graph based RAG? Empirical Insights into Reasoning under Incomplete Knowledge
2026 · Association for Computational Linguistics 2026, Chen, Jiaoyan, et al. · Underline Science Inc.
Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning
2026 · Association for Artificial Intelligence 2026, Halilaj, Lavdim, et al. · Underline Science Inc.
Works count: 41
Citation count: 1
H-index: 1
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