4 papers
Scalably computing metric magnitude
Steve Huntsman, Jewell Thomas, Cynthia Ukawu
Applications of metric magnitude often rely on numerically exact results in order to exploit a connection with information theory. We examine various approaches for scaling the den…
Automatic coherence-driven inference on arguments
Steve Huntsman
Inconsistencies are ubiquitous in law, administration, and jurisprudence. Though a cure is too much to hope for, we propose a technological remedy. Large language models (LLMs) can…
Coherence-driven inference for cybersecurity
Steve Huntsman
Large language models (LLMs) can compile weighted graphs on natural language data to enable automatic coherence-driven inference (CDI) relevant to red and blue team operations in c…
Benchmarking graph construction by large language models for coherence-driven inference
Steve Huntsman, Jewell Thomas
We devise an algorithm to generate propositions that objectively instantiate graphs supporting coherence-driven inference. We also benchmark the ability of large language models (L…