Buchumschlag

Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Lifelo, Zita, Ning, Huansheng, Dhelim, Sahraoui
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computation and Language Artificial Intelligence Computers and Society Machine Learning
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Machine Learning for Dynamic Management Zone in Smart Farming
von: Kulatunga, Chamil, et al.
Veröffentlicht: (2024)

Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models
von: Sood, Palak, et al.
Veröffentlicht: (2024)

VeSoNet: Traffic-Aware Content Caching for Vehicular Social Networks based on Path Planning and Deep Reinforcement Learning
von: Aung, Nyothiri, et al.
Veröffentlicht: (2021)

IMOVNO+: A Regional Partitioning and Meta-Heuristic Ensemble Framework for Imbalanced Multi-Class Learning
von: Bacha, Soufiane, et al.
Veröffentlicht: (2026)

Large Language Model for Mental Health: A Systematic Review
von: Guo, Zhijun, et al.
Veröffentlicht: (2024)

Selective Task offloading for Maximum Inference Accuracy and Energy efficient Real-Time IoT Sensing Systems
von: Sada, Abdelkarim Ben, et al.
Veröffentlicht: (2024)

Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning
von: Duan, Shitong, et al.
Veröffentlicht: (2023)

Cross-Language Bias Examination in Large Language Models
von: Liang, Yuxuan, et al.
Veröffentlicht: (2025)

Training-Free Cultural Alignment of Large Language Models via Persona Disagreement
von: Kiet, Huynh Trung, et al.
Veröffentlicht: (2026)

An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication
von: Li, Yunmeng, et al.
Veröffentlicht: (2024)

JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning
von: Kang, Zhaolu, et al.
Veröffentlicht: (2025)

Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance
von: Kim, Sunkyoung, et al.
Veröffentlicht: (2023)

Predicting Learning Performance with Large Language Models: A Study in Adult Literacy
von: Zhang, Liang, et al.
Veröffentlicht: (2024)

Language Model Goal Selection Differs from Humans' in a Self-Directed Learning Task
von: Molinaro, Gaia, et al.
Veröffentlicht: (2026)

PersLLM: A Personified Training Approach for Large Language Models
von: Zeng, Zheni, et al.
Veröffentlicht: (2024)

Efficient Training for Cross-lingual Speech Language Models
von: Zhou, Yan, et al.
Veröffentlicht: (2026)

Efficient and Personalized Mobile Health Event Prediction via Small Language Models
von: Wang, Xin, et al.
Veröffentlicht: (2024)

Impacts of Anthropomorphizing Large Language Models in Learning Environments
von: Schaaff, Kristina, et al.
Veröffentlicht: (2024)

TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution
von: Yang, Jiuding, et al.
Veröffentlicht: (2024)

Topic-aware Large Language Models for Summarizing the Lived Healthcare Experiences Described in Health Stories
von: Bilalpur, Maneesh, et al.
Veröffentlicht: (2025)

AGI Enabled Solutions For IoX Layers Bottlenecks In Cyber-Physical-Social-Thinking Space
von: Khelloufi, Amar, et al.
Veröffentlicht: (2025)

Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation
von: Grabb, Declan, et al.
Veröffentlicht: (2024)

Assessing Risks of Large Language Models in Mental Health Support: A Framework for Automated Clinical AI Red Teaming
von: Steenstra, Ian, et al.
Veröffentlicht: (2026)

EthicsMH: A Pilot Benchmark for Ethical Reasoning in Mental Health AI
von: Kasu, Sai Kartheek Reddy
Veröffentlicht: (2025)

On the Creativity of Large Language Models
von: Franceschelli, Giorgio, et al.
Veröffentlicht: (2023)

Generative AI Purpose-built for Social and Mental Health: A Real-World Pilot
von: Hull, Thomas D., et al.
Veröffentlicht: (2025)

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation
von: Bhuiyan, Mohaiminul Islam, et al.
Veröffentlicht: (2025)

Large Language Models for Cross-lingual Emotion Detection
von: Kadiyala, Ram Mohan Rao
Veröffentlicht: (2024)

Mining Social Determinants of Health for Heart Failure Patient 30-Day Readmission via Large Language Model
von: Shao, Mingchen, et al.
Veröffentlicht: (2025)

Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health
von: Tian, Shubo, et al.
Veröffentlicht: (2023)

Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing
von: Jiang, Han, et al.
Veröffentlicht: (2024)

Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation
von: Pang, Xianghe, et al.
Veröffentlicht: (2024)

Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment
von: Li, Chong, et al.
Veröffentlicht: (2023)

An Offline Mobile Conversational Agent for Mental Health Support: Learning from Emotional Dialogues and Psychological Texts with Student-Centered Evaluation
von: A, Vimaleswar, et al.
Veröffentlicht: (2025)

Cross-lingual Editing in Multilingual Language Models
von: Beniwal, Himanshu, et al.
Veröffentlicht: (2024)

When AI Speaks, Whose Values Does It Express? A Cross-Cultural Audit of Individualism-Collectivism Bias in Large Language Models
von: Venkata, Pruthvinath Jeripity
Veröffentlicht: (2026)

Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directions
von: Hu, Yiran, et al.
Veröffentlicht: (2026)

Cognitive-Mental-LLM: Evaluating Reasoning in Large Language Models for Mental Health Prediction via Online Text
von: Patil, Avinash, et al.
Veröffentlicht: (2025)

Mental Health Equity in LLMs: Leveraging Multi-Hop Question Answering to Detect Amplified and Silenced Perspectives
von: Haider, Batool, et al.
Veröffentlicht: (2025)

Towards Algorithmic Fidelity: Mental Health Representation across Demographics in Synthetic vs. Human-generated Data
von: Mori, Shinka, et al.
Veröffentlicht: (2024)