14 citations · 21 across the 6 of their papers we have counts for
5 papers · 1 filter
A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation
Phillip Schneider, Manuel Klettner, Elena Simperl +1
Generating natural language text from graph-structured data is essential for conversational information seeking. Semantic triples derived from knowledge graphs can serve as a valua…
Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs
Phillip Schneider, Manuel Klettner, Kristiina Jokinen +2
Conversational question answering systems often rely on semantic parsing to enable interactive information retrieval, which involves the generation of structured database queries f…
Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data
Mubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta +3
Numbers are crucial for various real-world domains such as finance, economics, and science. Thus, understanding and reasoning with numbers are essential skills for language models…
Using Large Language Models for Knowledge Engineering (LLMKE): A Case Study on Wikidata
Bohui Zhang, Ioannis Reklos, Nitisha Jain +2
In this work, we explore the use of Large Language Models (LLMs) for knowledge engineering tasks in the context of the ISWC 2023 LM-KBC Challenge. For this task, given subject and…
Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking
Mubashara Akhtar, Oana Cocarascu, Elena Simperl
Evidence data for automated fact-checking (AFC) can be in multiple modalities such as text, tables, images, audio, or video. While there is increasing interest in using images for…