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.
Machine learning, deep reinforcement learning, training and fine tuning with DLITE loss.