activity
20232026
most citedExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Models

25 citations · 75 across the 17 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Aligning with Lived Experience: Heterogeneous Benefits of Fine Tuning in Mental Health Support Generation

Mohit Chandra, Nabin Kim, Eli Min +3

As access to professional mental healthcare remains limited, many individuals turn to online platforms such as Reddit to seek peer support situated within human lived experience. H…

cs.CL2026

CliniCIRCA: A Modular LLM Framework for Constructing Longitudinal Mental Health Patient Journeys from Raw EHR Narratives

Aiwei Ivy Zhang, Nimra Ishfaq, Mohit Chandra +5

In mental health care, reasoning over patient journeys is a key task for clinicians. Yet these journeys, encompassing a longitudinal progression of biological, psychological, and s…

cs.CL2026

CALM-IT: Enhancing Synthetic Motivational Interviewing Dialogue Quality with Conversational Dynamics

Viet Cuong Nguyen, Nhi Yen Nguyen, Kristin A. Candan +5

Conversational dynamics describe how rapport, emotion, and goals change over a dialogue. These changes are important in therapeutic conversations, where they can influence when and…

cs.CL2023★ 19 cited

Benefits and Harms of Large Language Models in Digital Mental Health

Munmun De Choudhury, Sachin R. Pendse, Neha Kumar

The past decade has been transformative for mental health research and practice. The ability to harness large repositories of data, whether from electronic health records (EHR), mo…

cs.CL2023

Understanding the Humans Behind Online Misinformation: An Observational Study Through the Lens of the COVID-19 Pandemic

Mohit Chandra, Anush Mattapalli, Munmun De Choudhury

The proliferation of online misinformation has emerged as one of the biggest threats to society. Considerable efforts have focused on building misinformation detection models, stil…