339 citations
- University of PotsdamDE102 papers
- Karlsruhe Institute of TechnologyDE9 papers
- Technische Universität BerlinDE8 papers
- École PolytechniqueFR6 papers
- Humboldt-Universität zu BerlinDE6 papers
- Icahn School of Medicine at Mount SinaiUS5 papers
- Laboratoire d'Informatique de l'École PolytechniqueFR5 papers
- The University of AdelaideAU5 papers
- University of TwenteNL5 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Institut Polytechnique de ParisFR4 papers
- Charité - Universitätsmedizin BerlinDE3 papers
177 papers
KARAMEL: Knowledge-Aware Ranking for Multimodal Entity Linking in the Arts via Heterogeneous Graphs
Raffaele Scaringi, Alejandro Sierra-Múnera, Gennaro Vessio +2
Discovering and disambiguating entities from multimodal and heterogeneous data is a key challenge in discovery science, where relevant knowledge is often implicit and distributed a…
Window Function Optimization: Co-Evaluation and Other Techniques
Daniel Lindner, Felix Naumann, Alberto Lerner
Window functions are among the most expressive features of modern SQL. Surprisingly, relatively little has been written about their optimization. Some techniques exist, such as pus…
Interference-Aware Cross-Application Placement: A Multi-Objective Optimization Approach for Microservice Clusters
Iqra Zafar, Christian Medeiros Adriano, Holger Giese
In modern cloud architectures, multiple applications often run within the same clustered environment, sharing underlying resources. This resource sharing can cause interference amo…
Pareto Optimality in Approval-Based Multiwinner Voting
Joshua Schünke
In approval-based multiwinner voting, Pareto optimality is used as an axiom capturing efficiency of committees. We study the structure of the space of Pareto optimal committees in…
Unlocking Apple's Private Cloud Compute: An Analysis of Privacy-Preserving Artificial Intelligence
Yannik Dittmar, Marvin Jerome Stephan, Thomas Völkl +2
Many existing Artificial Intelligence (AI) solutions on mobile devices rely on an extensive collection of sensitive data, raising privacy concerns and often requiring storage for b…
From Program Slices to Causal Clarity: Evaluating Faithful, Actionable LLM-Generated Failure Explanations via Context Partitioning and LLM-as-a-Judge
Julius Porbeck, Christian Medeiros Adriano, Holger Giese
Large language model (LLM)-based debugging systems can generate failure explanations, but these explanations may be incomplete or incorrect. Misleading explanations are harmful for…