4 papers
JEPA-DNA: Grounding Genomic Foundation Models through Joint-Embedding Predictive Architectures
Ariel Larey, Elay Dahan, Amit Bleiweiss +15
Genomic Foundation Models (GFMs) typically rely on Masked Language Modeling (MLM) or Next-Token Prediction (NTP) to learn the "Laws of Nature". While effective at capturing local s…
Bias Detection in Emergency Psychiatry: Linking Negative Language to Diagnostic Disparities
Alissa A. Valentine, Lauren A. Lepow, Donald Apakama +3
The emergency department (ED) is a high stress environment with increased risk of clinician bias exposure. In the United States, Black patients are more likely than other racial/et…
Fine-Tune, Don't Prompt, Your Language Model to Identify Biased Language in Clinical Notes
Isotta Landi, Eugenia Alleva, Nicole Bussola +5
Clinical documentation can contain emotionally charged language with stigmatizing or privileging valences. We present a framework for detecting and classifying such language as sti…
The Point of View of a Sentiment: Towards Clinician Bias Detection in Psychiatric Notes
Alissa A. Valentine, Lauren A. Lepow, Lili Chan +2
Negative patient descriptions and stigmatizing language can contribute to generating healthcare disparities in two ways: (1) read by patients, they can harm their trust and engagem…