Mental Health Applications and Psychological Support
Applications of LLMs in mental health, psychiatry, and psychological support
Mental Health Applications and Psychological Support
Research on Large Language Models in Mental Health Applications and Psychological Support
AI vs. Human Coaching for Weight Loss
Exploring Large Language Models as Personalized Health Coaches
AI-Powered Mental Disorder Detection
Few-Shot Learning with Medical Knowledge Integration
AI-Powered Depression Detection on Social Media
Combining ChatGPT with Explainable AI for Mental Health Monitoring
AI-Powered Cognitive Reframing
Using LLMs to transform negative thoughts into positive ones through reasoned steps
LLMs in Psychiatric Care
Enhancing mental health interviews through AI-powered symptom detection
Privacy-Preserving Emotion AI
Advancing long-term emotion analysis with de-identification safeguards
Decoding Unconscious Emotions
Micro-Gesture Analysis for Identity-Free Emotional Intelligence
Detecting Clinician Bias in Psychiatric Notes
AI-powered analysis of sentiment and perspective in healthcare documentation
Personality Profiling for AI Assistants
Measuring distinct and consistent personality traits in LLMs
Ensuring Safety in Mental Health Chatbots
A framework for evaluating and improving AI-powered mental health support
Enhancing AI Emotional Intelligence
A novel framework for predicting emotional support strategies
Community-Aligned LLMs: Expanding Medical Research Horizons
A framework for tuning AI models to accurately reflect online community voices
AI-Guided Personal Reflection
How LLMs can adaptively support user exploration of personal challenges
Do AI Models 'Feel' Stress Like Humans Do?
Exploring how stress affects LLM performance compared to human responses
Multilingual Mental Health Assessment with LLMs
Breaking language barriers in mental health support systems
Teaching AI to Understand Emotional Nuance
A new approach for recognizing ambiguous human emotions in conversations
Emotion-Aware LLMs for Mental Health
Enhancing AI Empathy for Psychiatric Applications
LLMs as Mental Health Counselors?
Evaluating AI against professional counseling standards
EmoVerse: Advancing Emotion AI
Enhancing multimodal language models for nuanced emotion understanding
AI-Powered Personality Assessments
Using LLMs to Automate Situational Judgment Tests
Enhancing Timeline Summarization with Temporal Reasoning
Improving LLMs' ability to understand time-based narratives in social media content
AI-Powered Therapy Analysis
Using LLMs to Understand and Enhance Problem-Solving Therapy
Harnessing LLM Ensembles for Medical Text Analysis
Privacy-Preserving Automated Labeling of Sensitive Free-Text Data
Collaborative AI for Mental Health Screening
Multi-expert framework solves long-context reasoning challenges
Advancing Mental Health Support with AI
Multi-Agent Deductive Planning for Enhanced Therapy Responses
Multimodal Depression Detection
Fusing Text and Audio for More Accurate Mental Health Assessment
AI-Enhanced Mental Health Support
Integrating Multimodal Large Language Models in College Psychotherapy
CAMI: AI-Powered Counseling Assistant
Advancing Mental Health Support Through Intelligent Conversation
Do AI Models Have Personalities?
Exploring personality traits in LLMs using psychological assessment tools
Decoding Emotion in AI Models
How Large Language Models Process and Infer Human Emotions
Advancing Mental Health AI with Korean MI Dialogues
A new dataset for training culturally-specific therapeutic chatbots
Improving Depression Detection with AI
Chain-of-Thought Prompting Enhances LLM Accuracy in Mental Health Analysis
Culturally-Adapted AI Therapy
Pioneering Persian Mental Health Support with LLM Agents
AI-Powered Mental Health Stigma Analysis
Using LLMs to decode depression stigma through conversational data
Visual Intelligence in Cognitive Therapy
Enhancing Mental Health Support with Multimodal AI
Decoding Emotions with LLMs
Teaching language models to understand facial expressions without vision
Analyzing Hope vs. Hate in LGBTQ+ News
Leveraging AI to understand positive and negative user engagement
AI-Powered Mood Assessment
Using LLMs to Objectively Quantify Emotional States
AI-Powered Alzheimer's Speech Detection
Non-invasive detection and explanation of Alzheimer's through speech analysis
Enhancing Psychiatric Readmission Prediction
Using LLMs for Targeted Document Summarization
Enhancing Depression Detection with Speech Patterns
Leveraging speech timing data improves LLM diagnostic accuracy
Revolutionizing Mental Healthcare with AI
How Large Language Models Are Transforming Psychotherapy
Enhancing AI Emotional Support
How personas shape LLM-generated support conversations
Enhancing LLM Personality Simulation
Using Structured Interviews to Create Human-Like Diversity in AI Responses
MHQA: Advancing Mental Health Support with AI
A novel benchmark for mental health question answering systems
Scaling Empathy in AI Conversations
Generating high-quality empathetic dialogues without crowdsourcing
Evaluating LLMs for Suicide Prevention
Assessing AI's ability to identify implicit suicidal ideation and provide support
Stabilizing Emotion Recognition in AI
Enhancing language models for accurate speech emotion detection
AI-Powered Suicide Risk Detection
Evidence-Driven LLM Approach for Social Media Analysis
Enhancing AI Mental Health Support
Teaching LLMs to provide therapeutic responses through preference learning
Reimagining Mental Health Support with AI
Multi-agent inner dialogue for more effective psychological healing
Eeyore: Advancing Depression Simulation in AI
Creating more authentic mental health training tools through expert-guided AI optimization
Digital Reminiscence for Relocated Seniors
Using technology to bridge social gaps for older migrants
AI-Powered Mental Health Support
Using LLMs to Detect and Address Mental Health Issues from Social Media
Enhancing AI's Mind-Reading Abilities
How Neural Knowledge Bases Improve Theory-of-Mind Reasoning in LLMs
Advancing Mental Health Support with AI
First Explainable Bilingual Dataset for Mental Health Counseling
Making AI Therapy Transparent
Visualizing How AI Thinks During Psychological Counseling
ChatGPT's Emotional Intelligence Edge
Comparing LLMs' abilities to detect human emotions in text
MLLMs for Video Content Analysis
Evaluating AI's Understanding of Abstract Concepts in Mental Health Videos
Enhancing AI Emotional Support
How Chain of Strategy Optimization improves LLMs for mental wellbeing
The Unexpected Failure of Pre-trained Models in Depression Detection
Examining why sophisticated AI models underperform in mental health applications
LLMs as Psychological Counselors?
Evaluating AI's Potential in Mental Health Support
Reasoning-Enhanced Mental Health Detection
Improving LLM accuracy through structured reasoning techniques
Standardizing AI Psychometric Testing
Building robust frameworks for evaluating AI personality and behavior
Emotion Analysis for Cancer Survivors
Leveraging LLMs and Mobile Diaries to Improve Emotional Support
Advancing Emotion Recognition with AI
Leveraging Vision-Language Models for Compound Expression Recognition
Teaching Machines to Understand Human Subjectivity
How language models can predict and model diverse human opinions
AI-Powered Mental Health Detection in Healthcare
Optimizing LLMs to identify depression and anxiety in chronic disease patients
LLMs vs. Human Experts in Psychological Assessment
AI tools show promise in evaluating personality test validity
Bridging the Persona Knowledge Gap in AI Conversations
A framework for more coherent and personalized AI interactions
MentalChat16K: Advancing Conversational Mental Health Support
A benchmark dataset for developing more effective AI mental health assistants
Talking to Your Digital Self
Using AI-generated self-voice for emotional well-being
AI-Powered Depression Detection in Social Media
Using LLMs to provide medically-informed explanations for mental health screening
AI Reimagining Mental Health Care
Leveraging LLMs to Address the Global Mental Health Crisis
AI-Powered Anxiety Detection & Support
Personalized guidance through multi-scenario anxiety assessment
DeepPsy-Agent: AI-Powered Psychological Support
Combining Psychology Theory with Advanced AI for Better Emotional Support
DreamLLM-3D: Visualizing Dreams with AI
Merging Language Models and 3D Generation for Immersive Dream Experiences
Reimagining LLMs in Mental Health Care
From Assistive Tools to Ethical Co-Creators
Smart Social Support Detection
Overcoming Data Scarcity in Health Q&A Communities with LLMs
AI Support for Autistic Individuals
Reimagining how AI can help with negative self-talk
Emotion Analysis for Ethiopian Languages
Multi-label emotion detection with intensity measurement
AI That Understands Human Emotions
How multimodal language models can evaluate emotional content in images
Small Models, Big Impact in Mental Health
Why smaller neural language models outperform LLMs in detecting thought disorders
Robots, Empathy, and Human Behavior
How embodiment and tone of LLMs influence empathy elicitation
AI-Powered Depression Detection in Spanish
Using LLMs for interpretable early risk assessment
Revolutionizing Dementia Care with AI
Multi-Knowledge Graph Approach for Personalized Support
OmniVox: Advancing Emotion Recognition Through AI
Zero-shot LLMs outperform specialized audio models in emotion detection
Safely Evaluating Mental Health AI
A novel approach to testing LLM-based therapy chatbots without patient risk
Detecting Self-Destructive Content Across Languages
First bilingual benchmark for evaluating LLMs on harmful content detection
Redefining Effective Mental Health Support
A comprehensive dataset for AI-driven support tools
AI-Powered Psychodynamic Analysis
Automating the recognition of psychological conflicts using LLMs
Simulating Altered Consciousness in AI
How Glyph models psychedelic-like cognition in language models
When AI Therapists Turn Into Salespeople
Evaluating Ethical Boundaries in AI-Powered Motivational Interviewing
Optimizing LLMs for Mental Health Analysis
Fine-tuning outperforms prompt engineering and RAG for mental health text analysis
Does "Reasoning" with Large Language Models Improve Recogniz...
By Yilin Qi, Dong Won Lee...
AI-Powered PTSD Detection
Comparing NLP Methods and LLMs for Clinical Interview Analysis
AI-Powered Mental Health Assessment
Advancing diagnosis through multimodal machine learning
AI Conversations Boost Happiness
New research shows chatbots can improve subjective well-being
Leveraging LLMs for Mental Health Detection
New frontiers in analyzing social media for early mental health intervention
Personalized Mental Health Support with AI
Enhancing LLMs with real-time personalization for mental health dialogues
Robots as Emotional Confidants
How AI companions can reduce loneliness and stress in young adults
AI-Powered Depression Detection
Cost-Effective, Multilingual Mental Health Screening Using LLMs
Hidden Biases Against Mental Health Groups in LLMs
How AI language models propagate stigma against vulnerable populations
AI-Powered Mental Health Crisis Detection
Enhancing Social Media Intervention with Domain Knowledge
When AI Develops 'Mental Health Issues'
Detecting psychopathological patterns in Large Language Models
ELSA: Revolutionizing Emotional Intelligence in AI
A new dataset bridging emotional granularity with stylistic diversity
AI vs. Humans in Mental Health Support
Linguistic analysis reveals key differences in AI-generated mental health responses
Reducing Opioid Stigma with AI
LLMs can help decrease stigma in online health communities
Empathy Detection from Tabular Data
Applying Foundation Models to Visual Empathy Detection
Enhancing Emotional Support AI
A State Machine Approach to More Effective Support Conversations
