1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.AI2025
Sound and Complete Neurosymbolic Reasoning with LLM-Grounded Interpretations
Bradley P. Allen, Prateek Chhikara, Thomas Macaulay Ferguson +2
Large language models (LLMs) have demonstrated impressive capabilities in natural language understanding and generation, but exhibit problems with logical consistency in their outp…
cs.CL2025
A Benchmark for the Detection of Metalinguistic Disagreements between LLMs and Knowledge Graphs
Bradley P. Allen, Paul T. Groth
Evaluating large language models (LLMs) for tasks like fact extraction in support of knowledge graph construction frequently involves computing accuracy metrics using a ground trut…
cs.CL2024★ 1 cited
Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models
Bradley P. Allen, Paul T. Groth
A backbone of knowledge graphs are their class membership relations, which assign entities to a given class. As part of the knowledge engineering process, we propose a new method f…