collaborators

6 papers

cs.CL2026

From Word Sequences to Behavioral Sequences: Adapting Modeling and Evaluation Paradigms for Longitudinal NLP

Adithya V Ganesan, Vasudha Varadarajan, Oscar NE Kjell +6

While NLP typically treats documents as independent and unordered samples, in longitudinal studies, this assumption rarely holds: documents are nested within authors and ordered in…

cs.HC2026

When Support Escalates Distress: Regulation and Escalation in LLM Responses to Venting and Advice-Seeking

Vivienne Bihe Chi, Adithya V Ganesan, Ryan L Boyd +2

Large language models are increasingly used for mental health support, yet little is known about whether their responses are psychologically safe across different help-seeking styl…

cs.CL2026

Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models

Nikita Soni, August HÃ¥kan Nilsson, Syeda Mahwish +3

Mental health is not a fixed trait but a dynamic process shaped by the interplay between individual dispositions and situational contexts. Building on interactionist and constructi…

cs.SI2025

Unifying the Extremes: Developing a Unified Model for Detecting and Predicting Extremist Traits and Radicalization

Allison Lahnala, Vasudha Varadarajan, Lucie Flek +2

The proliferation of ideological movements into extremist factions via social media has become a global concern. While radicalization has been studied extensively within the contex…

eess.AS2025

WhiSPA: Semantically and Psychologically Aligned Whisper with Self-Supervised Contrastive and Student-Teacher Learning

Rajath Rao, Adithya Ganesan, Oscar Kjell +10

Current speech encoding pipelines often rely on an additional text-based LM to get robust representations of human communication, even though SotA speech-to-text models often have…

cs.CL2025

Capturing Human Cognitive Styles with Language: Towards an Experimental Evaluation Paradigm

Vasudha Varadarajan, Syeda Mahwish, Xiaoran Liu +4

While NLP models often seek to capture cognitive states via language, the validity of predicted states is determined by comparing them to annotations created without access the cog…