3 papers
cs.CL2025
Quantum NLP models on Natural Language Inference
Ling Sun, Peter Sullivan, Michael Martin +1
Quantum natural language processing (QNLP) offers a novel approach to semantic modeling by embedding compositional structure directly into quantum circuits. This paper investigates…
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…
cs.AI2025
LLM-KG-Bench 3.0: A Compass for SemanticTechnology Capabilities in the Ocean of LLMs
Lars-Peter Meyer, Johannes Frey, Desiree Heim +4
Current Large Language Models (LLMs) can assist developing program code beside many other things, but can they support working with Knowledge Graphs (KGs) as well? Which LLM is off…