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cs.CL2026
Graph Alignment Topology as an Inductive Bias for Grounding Detection
Paul Landes, Pranav Herur, Adam Cross +1
Large Language Models (LLMs) are optimized to produce distributionally plausible continuations rather than to explicitly verify whether generated propositions are entailed by sourc…
cs.CL2025
Enhancing Clinical Models with Pseudo Data for De-identification
Paul Landes, Aaron J Chaise, Tarak Nath Nandi +1
Many models are pretrained on redacted text for privacy reasons. Clinical foundation models are often trained on de-identified text, which uses special syntax (masked) text in plac…
cs.CL2025
Integration of Large Language Models and Traditional Deep Learning for Social Determinants of Health Prediction
Paul Landes, Jimeng Sun, Adam Cross
Social Determinants of Health (SDoH) are economic, social and personal circumstances that affect or influence an individual's health status. SDoHs have shown to be correlated to we…