5 papers
List Counting Failures Are Not One Phenomenon
Iyad Ait Hou, Saad Mankarious, Aya Zirikly +1
Counting the items in a bracketed list looks trivial, yet open-weight chat models often get it wrong. Prior work usually blames input bottlenecks such as subword fragmentation or a…
Mirroring Minds: Asymmetric Linguistic Accommodation and Diagnostic Identity in ADHD and Autism Reddit Communities
Saad Mankarious, Nour Zeid, Iyad Ait Hou +2
Social media research on mental health has focused predominantly on detecting and diagnosing conditions at the individual level. In this work, we shift attention to \emph{intergrou…
Parameter-Efficient Token Embedding Editing for Clinical Class-Level Unlearning
Iyad Ait Hou, Shrenik Borad, Harsh Sharma +3
Machine unlearning is increasingly important for clinical language models, where privacy regulations and institutional policies may require removing sensitive information from depl…
Style Transfer as Bias Mitigation: Diffusion Models for Synthetic Mental Health Text for Arabic
Saad Mankarious, Aya Zirikly
Synthetic data offers a promising solution for mitigating data scarcity and demographic bias in mental health analysis, yet existing approaches largely rely on pretrained large lan…
MindSET: Advancing Mental Health Benchmarking through Large-Scale Social Media Data
Saad Mankarious, Ayah Zirikly, Daniel Wiechmann +3
Social media data has become a vital resource for studying mental health, offering real-time insights into thoughts, emotions, and behaviors that traditional methods often miss. Pr…