1 citations · 1 across the 8 of their papers we have counts for
8 papers
When Safety Overrides Vision: Exploring Dynamics between Vision Influence and Safety Alignment in Vision-Language Models
Mehak Gupta, Tanmoy Chakraborty
Aligned vision-language models (VLMs) are designed to balance grounded visual reasoning with safe generation behavior. However, we observe a striking phenomenon: under safety-const…
Fine-Tuned Multi-Agent Framework for Detecting OCEAN in Life Narratives
Rasiq Hussain, Darshil Italiya, Joshua Oltmanns +1
Accurately assessing personality from text is challenging because traits are latent, context-dependent, and often subtly expressed across long narratives. Large language models (LL…
Multimodal Routing for Interpretable, Robust, and Auditable Clinical Prediction
Nikkie Hooman, Zhongjie Wu, Eric C. Larson +1
Electronic health record (EHR) data are inherently multimodal, and leveraging multiple modalities can improve predictive performance. However, most existing approaches rely on deep…
Large-Scale High-Quality 3D Gaussian Head Reconstruction from Multi-View Captures
Evangelos Ntavelis, Sean Wu, Mohamad Shahbazi +21
We propose HeadsUp, a scalable feed-forward method for reconstructing high-quality 3D Gaussian heads from large-scale multi-camera setups. Our method employs an efficient encoder-d…
Multilingual Language Models Encode Script Over Linguistic Structure
Aastha A K Verma, Anwoy Chatterjee, Mehak Gupta +1
Multilingual language models (LMs) organize representations for typologically and orthographically diverse languages into a shared parameter space, yet the nature of this internal…
"Mirror" Large Language Model Evaluations of Depression are Criterion Contaminated
Tong Li, Rasiq Hussain, Mehak Gupta +1
Large Language Model (LLM) studies that use language responses elicited from depression assessments to predict scores on those same assessments often report near-perfect prediction…
Personality Prediction from Life Stories using Language Models
Rasiq Hussain, Jerry Ma, Rithik Khandelwal +2
Natural Language Processing (NLP) offers new avenues for personality assessment by leveraging rich, open-ended text, moving beyond traditional questionnaires. In this study, we add…
Equitable Electronic Health Record Prediction with FAME: Fairness-Aware Multimodal Embedding
Nikkie Hooman, Zhongjie Wu, Eric C. Larson +1
Electronic Health Record (EHR) data encompass diverse modalities -- text, images, and medical codes -- that are vital for clinical decision-making. To process these complex data, m…