This dissertation presents a scalable architecture for transforming unstructured, domain-specific text into structured knowledge for retrieval and reasoning. It integrates semi-automatic corpus curation, semantic structuring, retrieval, and inference into an interpretable pipeline. The research introduces Binary Bleed,...
Ryan C. Barron
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Preprint
Sep 2026
Identity cues are irrelevant to a fixed programming specification, but raw counterfactual differences can arise from unequal samples and prompt wording. We audit 30.73 million executed Python generations from seven checkpoints on HumanEval+ and MBPP+, supplemented by an exploratory 550B slice, under model-assigned gend...
M. Eren, Ryan C. Barron, E. Michalak et al.
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Generated vocabulary can complement a strong learned sparse retriever, provided that the original query remains strongly represented.
Ryan C. Barron, C. Trotter, M. Eren et al.
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