2 citations · 6 across the 19 of their papers we have counts for
13 papers · 1 filter
Evaluating Document-Tuned Transformer Representations for Person-level Mental Health Assessment
Aaron Marker, Oscar Kjell, Vasudha Varadarajan +1
Person-level psychological assessment requires aggregating meaning across many messages from the same individual, a task that document-level training objectives were not explicitly…
Lost in Delusion: Examining LLM Safety Under User Delusions and Distress
Andrew Aquilina, Chetna Nihalani, Vasudha Varadarajan +3
LLM chatbots increasingly serve as a first source of support for people in psychological distress, including those whose distress is entangled with delusional beliefs. Prior work o…
Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models
Nikita Soni, August Håkan 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…
Examining the Utility of Self-disclosure Types for Modeling Annotators of Social Norms
Kieran Henderson, Kian Omoomi, Vasudha Varadarajan +2
Recent work has explored the use of personal information in the form of persona sentences or self-disclosures to improve modeling of individual characteristics and prediction of an…
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…
Critical or Compliant? The Double-Edged Sword of Reasoning in Chain-of-Thought Explanations
Eunkyu Park, Wesley Hanwen Deng, Vasudha Varadarajan +4
Explanations are often promoted as tools for transparency, but they can also foster confirmation bias; users may assume reasoning is correct whenever outputs appear acceptable. We…
ISCA: A Framework for Interview-Style Conversational Agents
Charles Welch, Allison Lahnala, Vasudha Varadarajan +4
We present a low-compute non-generative system for implementing interview-style conversational agents which can be used to facilitate qualitative data collection through controlled…
MAQuA: Adaptive Question-Asking for Multidimensional Mental Health Screening using Item Response Theory
Vasudha Varadarajan, Hui Xu, Rebecca Astrid Boehme +3
Recent advances in large language models (LLMs) offer new opportunities for scalable, interactive mental health assessment, but excessive querying by LLMs burdens users and is inef…
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…
Explaining GPTs' Schema of Depression: A Machine Behavior Analysis
Adithya V Ganesan, Vasudha Varadarajan, Yash Kumar Lal +9
Use of large language models such as ChatGPT (GPT-4/GPT-5) for mental health support has grown rapidly, emerging as a promising route to assess and help people with mood disorders…
ALBA: Adaptive Language-based Assessments for Mental Health
Vasudha Varadarajan, Sverker Sikström, Oscar N. E. Kjell +1
Mental health issues differ widely among individuals, with varied signs and symptoms. Recently, language-based assessments have shown promise in capturing this diversity, but they…
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge
Vasudha Varadarajan, Swanie Juhng, Syeda Mahwish +4
While transformer-based systems have enabled greater accuracies with fewer training examples, data acquisition obstacles still persist for rare-class tasks -- when the class label…
Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media
Youngseo Son, Vasudha Varadarajan, H Andrew Schwartz
Discourse relations are typically modeled as a discrete class that characterizes the relation between segments of text (e.g. causal explanations, expansions). However, such predefi…