Vasudha Varadarajan
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    • Examining the Utility of Self-disclosure Types for Modeling Annotators of Social Norms
    • From Word Sequences to Behavioral Sequences: Adapting Modeling and Evaluation Paradigms for Longitudinal NLP
    • Lost in Delusion: Examining LLM Safety Under User Delusions and Distress
    • Measuring resilience using language modeling: A computational approach to observing resilience
    • SOTOPIA-TOM: Evaluating Information Management in Multi-Agent Interaction with Theory of Mind
    • When Should AI Read the Room? Public Perceptions of Social Intelligence in AI Agents
    • Capturing Human Cognitive Styles with Language: Towards an Experimental Evaluation Paradigm
    • Critical or Compliant? The Double-Edged Sword of Reasoning in Chain-of-Thought Explanations
    • ISCA: A Framework for Interview-Style Conversational Agents
    • Linking Language-based Distortion Detection to Mental Health Outcomes
    • MAQuA: Adaptive Question-Asking for Multidimensional Mental Health Screening using Item Response Theory
    • Systematic Evaluation of Auto-Encoding and Large Language Model Representations for Capturing Author States and Traits
    • The Consistent Lack of Variance of Psychological Factors Expressed by LLMs and Spambots
    • Unifying the Extremes: Developing a Unified Model for Detecting and Predicting Extremist Traits and Radicalization
    • Who We Are, Where We Are: Mental Health at the Intersection of Person, Situation, and Large Language Models
    • ALBA: Adaptive Language-Based Assessments for Mental Health
    • Archetypes and Entropy: Theory-Driven Extraction of Evidence for Suicide Risk
    • Explaining GPT-4's Schema of Depression Using Machine Behavior Analysis
    • From Text to Context: Contextualizing Language with Humans, Groups, and Communities for Socially Aware NLP
    • \" I Slept Like a Baby\": Using Human Traits To Characterize Deceptive ChatGPT and Human Text.
    • ALBA: Adaptive Language-Based Assessments for Mental Health
    • Discourse-level representations can improve prediction of degree of anxiety
    • Transfer and active learning for dissonance detection: Addressing the rare-class challenge
    • Detecting dissonant stance in social media: The role of topic exposure
    • Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media
    • WWBP-SQT-lite: Multi-level models and difference embeddings for moments of change identification in mental health forums
    • Discourse relation embeddings: Representing the relations between discourse segments in social media
    • V-formation via model predictive control
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    • National High School Journal of Science (NHSJS) on Authorship and Originality in the Age of AI
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    • Stony Brook Medicine covers our Study on Distinguishing between Human and AI-Generated Content
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    • Talk @ CRA Grad Cohort, Denver 2025 on Capturing Human Cognitive Styles with Language
    • Invited Talk @ The Alan Turing Institute on Adaptive Language-Based Assessments
    • Tutorial @ NAACL 2024: From Text to Context:Contextualizing Language with Humans, Groups, and Communities for Socially Aware NLP
    • Talk @ ACL 2023 Best Paper Awards on transfer and active learning for dissonance detection
    • Talk @ DARPA Forward, Fort Collins 2022 on detecting dissonance on social media
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Examining the Utility of Self-disclosure Types for Modeling Annotators of Social Norms

Jan 1, 2026·
Kieran Henderson
,
Kian Omoomi
,
Vasudha Varadarajan
,
Allison Lahnala
,
Charles Welch
· 0 min read
Cite
Type
Conference paper
Publication
Findings of the Association for Computational Linguistics: EACL 2026
Last updated on Jan 1, 2026
From Word Sequences to Behavioral Sequences: Adapting Modeling and Evaluation Paradigms for Longitudinal NLP Jan 1, 2026 →

© 2026 Vasudha Varadarajan. This work is licensed under CC BY NC ND 4.0

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