Aligned vision-language models (VLMs) are designed to balance grounded visual reasoning with safe generation behavior. However, we observe a striking phenomenon: under safety-constrained instruction, models frequently abstain from answering questions that remain correctly answerable under default instruction despite re...
Large Language Model studies that use language responses elicited from depression assessments to predict scores on those same assessments often report near-perfect prediction of depression, but Mirror evaluations are better considered as reliability evaluations than as validity evaluations.
Early-onset colorectal cancer is increasing among younger adults, yet red-flag symptoms in this age group have no evidence-based guidelines for follow-up testing, and structured encounter data do not capture the detail needed to support early detection and inform follow-up, including symptom duration, context, and fam-...
Nikkie Hooman, Monarch Nigam, Amy E. Hughes et al.· 0 citations
This work proposes a fine-tuned multi-agent framework for detecting OCEAN personality traits, in which sub-agents are conditioned to adopt high, low, or neutral perspectives for each trait through masked language modeling (MLM) and psychometric supervision.
Rasiq Hussain, Darshil Italiya, Joshua R. Oltmanns et al.· arXiv.org· 0 citations
An explicit multimodal routing framework for clinical prediction that enables interpretable, robust, and auditable reasoning across three EHR modalities and introduces inference-time route masking, which simulates missing modalities and reweights the remaining routes without retraining.
Nikkie Hooman, Zhongjie Wu, Eric C. Larson et al.· IEEE/ACM International Confe...· 1 citation
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