Papers with disorders
Can AI Relate: Testing Large Language Model Response for Mental Health Support (2024.findings-emnlp)
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| Challenge: | Large language models (LLMs) are already being piloted for clinical use in hospitals . recent failures of the Tessa chatbot have led to doubts about their reliability in high-stakes settings. |
| Approach: | They propose safety guidelines for the potential deployment of large language models for mental health response. |
| Outcome: | The proposed framework measures equity in empathy and adherence of LLM responses to motivational interviewing theory. |
Multi-Aspect Transfer Learning for Detecting Low Resource Mental Disorders on Social Media (2022.lrec-1)
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| Challenge: | Mental disorders are an important and pervasive public health issue. |
| Approach: | They propose to use linguistic features to improve mental disorder detection . they propose to apply multi-aspect transfer learning to detecting disorders from social media . |
| Outcome: | The proposed methods can be used to improve mental disorder detection in the context of data scarcity and understanding the overlapping symptoms between disorders. |
Words Matter: Reducing Stigma in Online Conversations about Substance Use with Large Language Models (2024.emnlp-main)
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| Challenge: | Only 7% of people living with an SUD receive any form of treatment, with stigma reported as a major barrier. |
| Approach: | They propose a computational framework for analyzing stigma and de-stigmatizing online content and delving into the linguistic features that propagate stigma towards PWUS. |
| Outcome: | The proposed model transforms stigmatizing language into more empathetic language and analyzes over 1.2 million posts on social media . |
Persona-Grounded Safety Evaluation of AI Companions in Multi-Turn Conversations (2026.acl-long)
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| Challenge: | Existing safety evaluations rely on self-reported user data or interviews . a recent study evaluated how Replika responds to high-risk user groups . |
| Approach: | They propose a framework for controlled simulation and safety evaluation of multi-turn interactions with AI companion applications. |
| Outcome: | The proposed framework evaluates how Replika responds to high-risk user groups . it incorporates emotion modeling and LLM-assisted utterance-and harm-level classification . |
Analyzing Gambling Addictions: A Spanish Corpus for Understanding Pathological Behavior (2025.findings-emnlp)
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| Challenge: | a new study examines the interaction between natural language use and gambling disorders. |
| Approach: | They build a new corpus of sentences that are searched and compared using top-k pooling to form the assessment pools of sentences. |
| Outcome: | The proposed model is based on a new corpus of sentences in spanish . |
MentalHelp: A Multi-Task Dataset for Mental Health in Social Media (2024.lrec-main)
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Nishat Raihan, Sadiya Sayara Chowdhury Puspo, Shafkat Farabi, Ana-Maria Bucur, Tharindu Ranasinghe, Marcos Zampieri
| Challenge: | Annotating social media data for mental health disorders is expensive and time-consuming, limiting their size and scope. |
| Approach: | They present a large-scale semi-supervised mental disorder detection dataset containing 14 million instances from Reddit and an ensemble of three separate models. |
| Outcome: | The proposed dataset contains 14 million instances of mental disorders . it was collected from reddit and labeled in a semi-supervised way . |