3 papers
cs.AI2026
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.HC2025
From Data Creator to Data Reuser: Distance Matters
Christine L. Borgman, Paul T. Groth
Sharing research data is necessary, but not sufficient, for data reuse. Open science policies focus more heavily on data sharing than on reuse, yet both are complex, labor-intensiv…
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…