1 citations · 1 across the 7 of their papers we have counts for
9 papers
Factual Inconsistencies in Multilingual Wikipedia Tables
Silvia Cappa, Lingxiao Kong, Pille-Riin Peet +3
Wikipedia serves as a globally accessible knowledge source with content in over 300 languages. Despite covering the same topics, the different versions of Wikipedia are written and…
Co-constructing Explanations for AI Systems using Provenance
Jan-Christoph Kalo, Fina Polat, Shubha Guha +1
Modern AI systems are complex workflows containing multiple components and data sources. Data provenance provides the ability to interrogate and potentially explain the outputs of…
Investigating the Robustness of Deductive Reasoning with Large Language Models
Fabian Hoppe, Filip Ilievski, Jan-Christoph Kalo
Large Language Models (LLMs) have been shown to achieve impressive results for many reasoning-based NLP tasks, suggesting a degree of deductive reasoning capability. However, it re…
Semantic Web and Creative AI -- A Technical Report from ISWS 2023
Raia Abu Ahmad, Reham Alharbi, Roberto Barile +74
The International Semantic Web Research School (ISWS) is a week-long intensive program designed to immerse participants in the field. This document reports a collaborative effort p…
ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of Events
Duygu Sezen Islakoglu, Jan-Christoph Kalo
Large Language Models (LLMs) have achieved remarkable success in various NLP tasks, yet they still face significant challenges in reasoning and arithmetic. Temporal reasoning, a cr…
Evaluating the Knowledge Base Completion Potential of GPT
Blerta Veseli, Simon Razniewski, Jan-Christoph Kalo +1
Structured knowledge bases (KBs) are an asset for search engines and other applications, but are inevitably incomplete. Language models (LMs) have been proposed for unsupervised kn…