Author

Natalie Parde

University of Illinois at Chicago

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Preprint Aug 2026

Behind the [MASK]: Disentangling Representation and Faithfulness in DAPF-Based Dementia Detection

Spoken-language analysis via prompt-based domain-adaptive models is a promising direction for low-resource, non-invasive dementia screening, but such models remain internally opaque. We study the interpretability of the Domain-Adapted models via Prompt-based Fine-tuning (DAPF) framework, which casts dementia detection...

Pardis Ranjbar-noiey, Natalie Parde · 0 citations

Preprint Sep 2026

A Bayesian Correlated Equilibrium for Early Insider-Threat Detection

We model insider threat detection as a dynamic Bayesian game in which a platform coordinates a committee of strategic certifiers to sustain equilibrium among honest users and detect malicious deviations before exfiltration. Certifiers and users operate under a Bayesian Temporal Correlated Equilibrium (BTCE), where a se...

Javed M Shah, Ian A. Kash, Natalie Parde · 0 citations

#artificial intelligence Conference Open access May 2026

UIC-AIHealth4All at ArchEHR-QA 2026: Answer-First Evidence Grounding for Clinical Question Answering

The UIC-AIHealth4All system for ArchEHR-QA 2026, a shared task on grounded question answering from electronic health records, is described and an answer-first pipeline in which the model generates candidate answers citing specific note sentences is proposed, exploiting the asymmetry between judging relevance in the abs...

Mohammad Arvan, Hossein Haeri, Natalie Parde et al. · Proceedings of the Language... · 0 citations