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cs.CL2025
ARUQULA -- An LLM based Text2SPARQL Approach using ReAct and Knowledge Graph Exploration Utilities
Felix Brei, Lorenz Bühmann, Johannes Frey +4
Interacting with knowledge graphs can be a daunting task for people without a background in computer science since the query language that is used (SPARQL) has a high barrier of en…
cs.CL2025
Characterizing Knowledge Graph Tasks in LLM Benchmarks Using Cognitive Complexity Frameworks
Sara Todorovikj, Lars-Peter Meyer, Michael Martin
Large Language Models (LLMs) are increasingly used for tasks involving Knowledge Graphs (KGs), whose evaluation typically focuses on accuracy and output correctness. We propose a c…