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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…