Data and Information

The definition and measurement of information is fundamental to methods for information retrieval, text mining, and machine learning.

A local small-model system for interpretable analysis of library survey data while keeping sensitive institutional data under local control.

A diagnostic HotpotQA study of how retrieval granularity shapes evidence recovery, answer quality, context budgets, and resource use for small-model RAG.

An empirical study of DLITE loss and the effect of loss-function choice on AI-driven named entity recognition.