most citedChatGPT for Us: Preserving Data Privacy in ChatGPT via Dialogue Text Ambiguation to Expand Mental Health Care Delivery

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions

Ashima Suvarna, Kendrick Phan, Mehrab Beikzadeh +2

Reinforcement Learning with Verifiable Rewards (RLVR) has substantially improved reasoning in formal domains such as mathematics and code, but extending these gains beyond STEM rem…

cs.LG2026

Multi-Objective Alignment of Language Models for Personalized Psychotherapy

Mehrab Beikzadeh, Yasaman Asadollah Salmanpour, Ashima Suvarna +4

Mental health disorders affect over 1 billion people worldwide, yet access to care remains limited by workforce shortages and cost constraints. While AI systems show therapeutic pr…

cs.AI2026

Leveraging ChatGPT and Other NLP Methods for Identifying Risk and Protective Behaviors in MSM: Social Media and Dating apps Text Analysis

Mehrab Beikzadeh, Chenglin Hong, Cory J Cascalheira +3

Men who have sex with men (MSM) are at elevated risk for sexually transmitted infections and harmful drinking compared to heterosexual men. Text data collected from social media an…

cs.CL2023★ 1 cited

ChatGPT for Us: Preserving Data Privacy in ChatGPT via Dialogue Text Ambiguation to Expand Mental Health Care Delivery

Anaelia Ovalle, Mehrab Beikzadeh, Parshan Teimouri +2

Large language models have been useful in expanding mental health care delivery. ChatGPT, in particular, has gained popularity for its ability to generate human-like dialogue. Howe…

cs.LG2023

A Self-supervised Framework for Improved Data-Driven Monitoring of Stress via Multi-modal Passive Sensing

Shayan Fazeli, Lionel Levine, Mehrab Beikzadeh +4

Recent advances in remote health monitoring systems have significantly benefited patients and played a crucial role in improving their quality of life. However, while physiological…