Towards Interpretable Mental Health Analysis with Large Language Models

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Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

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GPTScore: Evaluate as You Desire

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BARTScore: Evaluating Generated Text as Text Generation

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A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

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Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine

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Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations

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A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series ModelsPreprint

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Emotion Detection on TV Show Transcripts with Sequence-based Convolutional Neural NetworksPreprint

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SenseMood: Depression Detection on Social Media

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Multimodal Fusion of BERT-CNN and Gated CNN Representations for Depression Detection

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Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT

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Effective Inter-Clause Modeling for End-to-End Emotion-Cause Pair Extraction

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A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media

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Zero-shot Temporal Relation Extraction with ChatGPT

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ChatGPT as a Factual Inconsistency Evaluator for Text Summarization

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Ethics and Privacy in Social Media Research for Mental Health

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Will Affective Computing Emerge from Foundation Models and General AI? A First Evaluation on ChatGPTPreprint

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Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment

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Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression

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Transfer Learning for Depression: Early Detection and Severity Prediction from Social Media Postings.

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Hierarchical Attention Network for Explainable Depression Detection on Twitter Aided by Metaphor Concept MappingsPreprint

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Towards Intention Understanding in Suicidal Risk Assessment with Natural Language Processing

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Psychiatric Scale Guided Risky Post Screening for Early Detection of DepressionPreprint

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Knowledge-Bridged Causal Interaction Network for Causal Emotion EntailmentPreprint

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Is ChatGPT a General-Purpose Natural Language Processing Task Solver?

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Large language models in healthcare and medical domain: A review

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Large Language Models for Mental Health Applications: Systematic Review

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MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models

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Large Language Models in Mental Health Care: A Scoping Review

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Safety of Large Language Models in Addressing Depression

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Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis

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Explainable depression symptom detection in social media

Bao, E., Pérez, A., & Parapar, J. (2024) · Health Information Science and Systems · doi:10.1007/s13755-024-00303-9 · Cited by 46 · see citing works

Large Language Models in Mental Health Care: A Systematic Scoping Review (Preprint)

hua, Y., Liu, F., Yang, K., Li, Z., Sheu, Y.-H., Zhou, P., Moran, L. V., Ananiadou, S., Clifton, D. A., & Beam, A. (2024) · doi:10.2196/preprints.64088 · Cited by 46 · see citing works

PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluation

Hu, J., Dong, T., Luo, G., Ma, H., Zou, P., Sun, X. N., Guo, D., Yang, X., & Wang, M. (2024) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2024.3497725 · Cited by 46 · see citing works

Explainable AI chatbots towards XAI ChatGPT: A review

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Clinical insights: A comprehensive review of language models in medicine

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Prompt engineering for digital mental health: a short review

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Empowering pediatric, adolescent, and young adult patients with cancer utilizing generative AI chatbots to reduce psychological burden and enhance treatment engagement: a pilot study

Hasei, J., Hanzawa, M., Nagano, A., Maeda, N., Yoshida, S., Endo, M., Yokoyama, N., Ochi, M., Ishida, H., Katayama, H., et al. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1543543 · Cited by 34 · see citing works

Towards Culturally Adaptive Large Language Models in Mental Health: Using ChatGPT as a Case Study

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Reading Between the Frames: Multi-modal Depression Detection in Videos from Non-verbal Cues

Gimeno-Gómez, D., Bucur, A.-M., Cosma, A., Martínez-Hinarejos, C.-D., & Rosso, P. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-56027-9_12 · Cited by 27 · see citing works

Comparing Fine-Tuning, Zero and Few-Shot Strategies with Large Language Models in Hate Speech Detection in English

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Unlocking the Potential: A Comprehensive Systematic Review of ChatGPT in Natural Language Processing Tasks

Alomari, E. A. (2024) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2024.052256 · Cited by 32 · see citing works

Large Language Models for Mental Health Applications: Systematic Review (Preprint)Preprint

Guo, Z., Lai, A. G., Thygesen, J. H., Farrington, J., Keen, T., & Li, K. (2024) · doi:10.2196/preprints.57400 · Cited by 25 · see citing works

Advanced deep learning and large language models for suicide ideation detection on social media

Qorich, M., & Ouazzani, R. E. (2024) · Progress in Artificial Intelligence · doi:10.1007/s13748-024-00326-z · Cited by 21 · see citing works

Evaluation of large language models on mental health: from knowledge test to illness diagnosis

Xu, Y., Fang, Z., Lin, W., Jiang, Y., Wen, J., Balaji, P., Wang, J., & Xia, T. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1646974 · Cited by 20 · see citing works

AI-Assisted Diagnosing, Monitoring and Treatment of Mental Disorders: A Survey

Muetunda, F., Sabry, S., Jamil, M. L., Pais, S., Dias, G. H., & Cordeiro, J. (2024) · ACM Transactions on Computing for Healthcare · doi:10.1145/3681794 · Cited by 19 · see citing works

Automated Depression Detection From Text and Audio: A Systematic Review

Li, Y., Kumbale, S., Chen, Y., Surana, T., Chng, E. S., & Guan, C. (2025) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2025.3570900 · Cited by 21 · see citing works

Language Models for Online Depression Detection: A Review and Benchmark Analysis on Remote Interviews

Qin, R., Yang, K., Abbasi, A., Dobolyi, D. G., Seyedi, S. S., Griner, E. L., Kwon, H., Cotes, R. O., Jiang, Z., Clifford, G. D., et al. (2024) · ACM Transactions on Management Information Systems · doi:10.1145/3673906 · Cited by 18 · see citing works

"Kya family planning after marriage hoti hai?": Integrating Cultural Sensitivity in an LLM Chatbot for Reproductive Health

Deva, R., Ramani, D., Divate, T., Jalota, S., & Ismail, A. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713362 · Cited by 32 · see citing works

A survey on large language models with multilingualism: recent advances and new frontiers

Huang, K., Mo, F., Zhang, X., Li, H., Li, Y., Zhang, Y., yi, W., Mao, Y., Liu, J., Xu, Y., et al. (2026) · Artificial Intelligence Review · doi:10.1007/s10462-026-11534-5 · Cited by 131 · see citing works

Retrieval-Augmented Generation Based Large Language Model Chatbot for Improving Diagnosis for Physical and Mental Health

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MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation

Zhang, Z., Wang, Z., Ma, T., Taneja, V. S., Nelson, S., Le, N. H. L., Murugesan, K., Ju, M., Chawla, N. V., Zhang, C., et al. (2025) · Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 · doi:10.1145/3690624.3709382 · Cited by 16 · see citing works

Exploring Interpretability in Deep Learning for Affective Computing: A Comprehensive Review

Zhang, X., Zhang, T., Sun, L., Zhao, J., & Jin, Q. (2025) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3723005 · Cited by 18 · see citing works

Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media

Zhang, T., Yang, K., & Ananiadou, S. (2023) · Workshop on Biomedical Language Processing (BioNLP) · doi:10.18653/v1/2023.bionlp-1.9 · Cited by 15 · see citing works

Matematik Eğitiminde Yenilikçi Bir Yaklaşım: ChatGPT'nin Rolü

Karabiyik, U. (2024) · Uşak Üniversitesi Eğitim Araştırmaları Dergisi · doi:10.29065/usakead.1393487 · Cited by 14 · see citing works

Assessing dimensions of thought disorder with large language models: The tradeoff of accuracy and consistency

Pugh, S. L., Chandler, C., Cohen, A. S., Diaz-Asper, C. M., Elvevåg, B., & Foltz, P. W. (2024) · Psychiatry Research · doi:10.1016/j.psychres.2024.116119 · Cited by 18 · see citing works

Enhancing multimodal depression detection with intra- and inter-sample contrastive learning

Li, M., Wei, Y., Zhu, Y., Wei, S., & Wu, B. (2024) · Information Sciences · doi:10.1016/j.ins.2024.121282 · Cited by 16 · see citing works

On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook

Bucur, A.-M., Moldovan, A.-C., Parvatikar, K., Zampieri, M., KhudaBukhsh, A. R., & Dinu, L. P. (2025) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2025.3540507 · Cited by 15 · see citing works

Large Language Model Architectures in Health Care: Scoping Review of Research Perspectives

Leiser, F., Guse, R., & Sunyaev, A. (2025) · Journal of Medical Internet Research · doi:10.2196/70315 · Cited by 12 · see citing works

A Systematic Review of Large Language Models in Mental Health: Opportunities, Challenges, and Future Directions

Voultsiou, E., & Moussiades, L. (2026) · Electronics · doi:10.3390/electronics15030524 · Cited by 18 · see citing works

Knowledge-prompted ChatGPT: Enhancing drug trafficking detection on social media

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MLHOps: Machine Learning Health Operations

Khattak, F. K., Subasri, V., Krishnan, A., Pou-Prom, C., Koçak, S. A., Dolatabadi, E., Pandya, D., Seyyed-Kalantari, L., & Rudzicz, F. (2024) · IEEE Access · doi:10.1109/access.2024.3521279 · Cited by 29 · see citing works

Road of Large Language Model: Source, Challenge, and Future Perspectives

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Evaluating Risk Progression in Mental Health Chatbots Using Escalating PromptsPreprint

Heston, T. F. (2023) · medRxiv · doi:10.1101/2023.09.10.23295321 · Cited by 11 · see citing works

Intent aware data augmentation by leveraging generative AI for stress detection in social media texts

Saleem, M. T., & Kim, J. (2024) · PeerJ Computer Science · doi:10.7717/peerj-cs.2156 · Cited by 12 · see citing works

PGIF: A Personality-Guided Iterative Feedback Graph Network for Multimodal Conversational Emotion Recognition

Xie, Y., & Mao, R. (2025) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2024.3523322 · Cited by 10 · see citing works

Can artificial intelligence provide accurate and reliable answers to cancer patients’ questions about cancer pain? Comparison of chatbots based on ESMO cancer pain guideline

Yucel, K. B., Sütçüoğlu, O., Yazıcı, O., Özet, A., & Özdemir, N. (2024) · memo - Magazine of European Medical Oncology · doi:10.1007/s12254-023-00954-6 · Cited by 10 · see citing works

Identifying Yalom’s group therapeutic factors in anonymous mental health discussions on Reddit: a mixed-methods analysis using large language models, topic modeling and human supervision

Ferizaj, D., Lalk, C., Lahmann, N., Strube‐Lahmann, S., & Rubel, J. A. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1503427 · Cited by 9 · see citing works

Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media

Qi, H., Fu, G., Li, J., Song, C., Zhai, W., Luo, D., Liu, S., Yu, Y., Yang, B. X., & Zhao, Q. (2025) · Bioengineering · doi:10.3390/bioengineering12080882 · Cited by 9 · see citing works

A Comprehensive Survey on Transformer-Based Machine Translation: Identifying Research Gaps and Solutions for Large Language Models

Banerjee, A., & Banik, D. (2025) · ACM Computing Surveys · doi:10.1145/3773076 · Cited by 10 · see citing works

ASD-Chat: An Innovative Dialogue Intervention System for Children with Autism based on LLM and VB-MAPP

Deng, C., Lai, S., Zhou, C., Bao, M., Yan, J., Li, H., Yao, L., & Wang, Y. (2025) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn64981.2025.11227794 · Cited by 9 · see citing works

Can You Read Between the Lines?: A Comparison of Human and ChatGPT As Support Providers

Hwang, L. J., McKenzie, R., Feng, B., & Pan, W. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2584724 · Cited by 9 · see citing works

Detecting neuropsychiatric fluctuations in Parkinson’s Disease using patients’ own words: the potential of large language models

Castelli, M., Sousa, M., Illner, V., Single, M., Amstutz, D., Maradan‐Gachet, M. E., Magalhães, A. D., Debove, I., Rusz, J., Martínez‐Martín, P., et al. (2025) · npj Parkinson s Disease · doi:10.1038/s41531-025-00939-8 · Cited by 8 · see citing works

Augmenting Reddit Posts to Determine Wellness Dimensions impacting Mental Health

Liyanage, C., Garg, M., Mago, V., & Sohn, S. (2023) · Workshop on Biomedical Language Processing (BioNLP) · doi:10.18653/v1/2023.bionlp-1.27 · Cited by 8 · see citing works

Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models

Zhan, H., Ong, D. C., & Li, J. (2023) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2023.findings-emnlp.962 · Cited by 9 · see citing works

A Study on the Application of ChatGPT by Instructional Design Stage of ADDIE Model

Lim, S., & Kim, E. (2024) · The Journal of Korean Association of Computer Education · doi:10.32431/kace.2024.27.1.013 · Cited by 8 · see citing works

Network-based artificial intelligence in mental healthcare: A systematic review of chatbots, artificial intelligence/machine learning models and ethical considerations in global healthcare networks

Rezaei, Z., Khorraminia, A., Shi, D., & Banad, Y. M. (2026) · Digital Health · doi:10.1177/20552076261421688 · Cited by 9 · see citing works

A Three-Stage Framework for Event-Event Relation Extraction with Large Language Model

Huang, F., Huang, Q., Zhao, Y., Qi, Z., Wang, B., Huang, Y., & Li, S. (2023) · Communications in computer and information science · doi:10.1007/978-981-99-8181-6_33 · Cited by 7 · see citing works

The Goldilocks Zone: Finding the right balance of user and institutional risk for suicide-related generative AI queries

Meter, A. V., Wheaton, M. G., Cosgrove, V. E., Andreadis, K., & Robertson, R. E. (2025) · PLOS Digital Health · doi:10.1371/journal.pdig.0000711 · Cited by 7 · see citing works

Automatic Product Classification in International Trade: Machine Learning and Large Language Models

de Artiñano, I. M., Depetris, F. R., & Martincus, C. V. (2023) · doi:10.18235/0005012 · Cited by 11 · see citing works

DreamDirector: Designing a Generative AI System to Aid Therapists in Treating Clients' Nightmares

Zhao, Y., Li, Z., Wang, Y., Cai, X., ZHOU, X. ‐., Yan, Y., Jin, K., Ding, S., Shao, Y., Cao, J., et al. (2025) · ACM International Conference on Intelligent User Interfaces (IUI) · doi:10.1145/3708359.3712078 · Cited by 6 · see citing works

LLM-based classifiers for discovering mental disorders

Nowacki, A., Sitek, W., & Rybiński, H. (2025) · Journal of Intelligent Information Systems · doi:10.1007/s10844-025-00934-8 · Cited by 6 · see citing works

Using large language models for extracting and pre-annotating texts on mental health from noisy data in a low-resource language

Koltcov, S., Surkov, A., Koltsova, O. Y., & Ignatenko, V. (2024) · PeerJ Computer Science · doi:10.7717/peerj-cs.2395 · Cited by 6 · see citing works

Exploring Modular Prompt Design for Emotion and Mental Health Recognition

Kim, M., Kim, T., Vo, T. H. A., Jung, Y., & Lee, U. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713888 · Cited by 6 · see citing works

From Explainability to Action: A Generative Operational Framework for Integrating XAI in Clinical Mental Health Screening

Kandala, R., Moharir, A. K., & Nayak, D. A. (2025) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw69685.2025.00156 · Cited by 5 · see citing works

Recognizing the Role of ChatGPT in Decision-Making and Recognition of Mental Health Disorders among Entrepreneurs

Abdelwahed, N. A. A. (2024) · OBM Neurobiology · doi:10.21926/obm.neurobiol.2403241 · Cited by 5 · see citing works

PALLM: Evaluating and Enhancing Palliative Care Conversations with Large Language Models

Wang, Z., Yuan, F., LeBaron, V. T., Flickinger, T., & Barnes, L. E. (2025) · ACM Transactions on Computing for Healthcare · doi:10.1145/3712300 · Cited by 10 · see citing works

Breaking the Silence: Whisper-Driven Emotion Recognition in AI Mental Support Models

Qu, X., Sun, Z., Feng, S., Chen, C., & Tian, T. (2024) · IEEE Conference on Artificial Intelligence (CAI) · doi:10.1109/cai59869.2024.00063 · Cited by 5 · see citing works

Categorizing Mental Stress: A Consistency-Focused Benchmarking of ML and DL Models for Multi-Label, Multi-Class Classification via Taxonomy-Driven NLP Techniques

John, J. S., Prathap, B. R., Gupta, G., & Melanaturu, J. (2025) · Natural Language Processing Journal · doi:10.1016/j.nlp.2025.100162 · Cited by 4 · see citing works

Automated Safety Plan Scoring in Outpatient Mental Health Settings Using Large Language Models: Exploratory Study

Donnelly, H. K., Brown, G. K., Green, K. L., Vurgun, U., Hwang, S., Schriver, E., Steinberg, M., Reilly, M. E., Mehta, H. T., Labouliere, C. D., et al. (2025) · JMIR Mental Health · doi:10.2196/79010 · Cited by 4 · see citing works

Large Language Models in Mental Health: A Systematic Review of Applications, Innovations and Ethical Challenges

Chen, Y., Gao, Y., Yu, S., Zhao, C., & Lu, Y. (2025) · Journal of Industrial Integration and Management · doi:10.1142/s2424862225300042 · Cited by 5 · see citing works

Explainable AI for Mental Disorder Detection on Social Media: A Survey and Outlook

Ibrahimov, Y., Anwar, T., & Yuan, T. (2026) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2026.3688443 · Cited by 25 · see citing works

Computational Experiment Comprehension using Provenance Summarization

Boufford, N., Wonsil, J., Pocock, A., Sullivan, J., Seltzer, M., & Pasquier, T. (2024) · ACM Conference on Reproducibility and Replicability (ACM REP) · doi:10.1145/3641525.3663617 · Cited by 4 · see citing works

Multimodal Behavioral Patterns Analysis with Eye-Tracking and LLM-Based Reasoning

Guo, D., Abdrabou, Y., Thaqi, E., & Kasneci, E. (2025) · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION · doi:10.1145/3716553.3750787 · Cited by 4 · see citing works

LLMental: Classification of Mental Disorders with Large Language Models

Nowacki, A., Sitek, W., & Rybiński, H. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-62700-2_4 · Cited by 4 · see citing works

Detection of Suicidality Through Privacy-Preserving Large Language ModelsPreprint

Wiest, I. C., Verhees, F. G., Ferber, D., Zhu, J., Bauer, M., Lewitzka, U., Pfennig, A., Mikoláš, P., & Kather, J. N. (2024) · medRxiv · doi:10.1101/2024.03.06.24303763 · Cited by 4 · see citing works

Leveraging Large Language Models for Identifying Interpretable Linguistic Markers and Enhancing Alzheimer’s Disease DiagnosticsPreprint

Mo, T., Lam, J. C. K., Li, V. O. K., & Cheung, L. Y. L. (2024) · medRxiv · doi:10.1101/2024.08.22.24312463 · Cited by 4 · see citing works

The Digital Bridge: using Digital Intervention to Understand Psychosocial Correlation between COVID-19 Stress and Sleep Quality in Undergraduate Students Before and After COVID-19

Marwaha, E. B., Gera, J., Thareja, R., & Gupta, S. (2025) · The Open Psychology Journal · doi:10.2174/0118743501364965250220093932 · Cited by 2 · see citing works

Online expressions, offline struggles: Using social media to identify depression-related symptoms

Aragón, M. E., López-Monroy, A. P., Montes-y-Gómez, M., & Losada, D. E. (2025) · Online Social Networks and Media · doi:10.1016/j.osnem.2025.100338 · Cited by 4 · see citing works

ReDSM5: A Reddit Dataset for DSM-5 Depression Detection

Bao, E., Pérez, A., & Parapar, J. (2025) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/3746252.3761610 · Cited by 3 · see citing works

Research challenges and future directions in transformer-based neural machine translation

Banerjee, A., Singh, B. K., Kumar, V., & Banik, D. (2026) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.131062 · Cited by 3 · see citing works

Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns

Zhang, Z., Wang, Z., Hou, S., Hall, E., Bachman, L., White, J., Galassi, V., Chawla, N. V., Zha, C., & Ye, Y. (2024) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/3637528.3671587 · Cited by 3 · see citing works

MindWell: A Conversational Agent for Professional Depression Screening on Social Media

Bao, E., Pérez, A., & Parapar, J. (2025) · Lecture notes in computer science · doi:10.1007/978-3-031-88720-8_9 · Cited by 3 · see citing works

Exploring the Flexibility and Accuracy of Sentiment Scoring Models through a Hybrid KNN-RNN-CNN Algorithm and ChatGPT

Hariguna, T., & Ruangkanjanases, A. (2023) · HighTech and Innovation Journal · doi:10.28991/hij-2023-04-02-06 · Cited by 3 · see citing works

Enhancing Emotion Recognition in Conversation via Multi-view Feature Alignment and Memorization

Hou, G., Shen, Y., Zhang, W., Xue, W., & Lü, W. (2023) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2023.findings-emnlp.842 · Cited by 3 · see citing works

Managerial and Organizational Challenges in the Age of AI

Obradovich, N., Johnson, T., & Paulus, M. P. (2024) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2023.5247 · Cited by 3 · see citing works

Less is More: Stress Detection through Condensed Social Media Contents

Alghamdi, Z., Kumarage, T., Agrawal, G., Liu, H., & Bernard, H. R. (2024) · European Conference on Social Media · doi:10.34190/ecsm.11.1.2273 · Cited by 3 · see citing works

Scale-CoT: Integrating LLM with Psychiatric Scales for Analyzing Mental Health Issues on Social Media

Wang, B., Sun, Y., Zi, Y., Zhao, Y., & Qin, B. (2024) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm62325.2024.10822322 · Cited by 3 · see citing works

The Role of Humanization and Robustness of Large Language Models in Conversational Artificial Intelligence for Individuals with Depression: A Critical Analysis (Preprint)Preprint

Ferrario, A., Sedláková, J., & Trachsel, M. (2024) · doi:10.2196/preprints.56569 · Cited by 3 · see citing works

The role of concreteness in repetitive negative thinking: Temporal dynamics and the predictive value for depression throughout psychological treatment

Kirchler, S. V., Müller, C., Spock, Z., Ehring, T. W., Kopf‐Beck, J., & Tamm, J. (2025) · Behaviour Research and Therapy · doi:10.1016/j.brat.2025.104801 · Cited by 2 · see citing works

Multi-label mental health classification in social media posts with multi-perspective prompt ensemble and auxiliary self-supervision

Hsieh, C., Ye, Q., Liu, F.-C., Wang, X., Lee, C., & Lin, C.-S. (2025) · Scientific Reports · doi:10.1038/s41598-025-30873-x · Cited by 2 · see citing works

DepGLM: Depression degree recognition on social media based on large language models

Liu, J., Ding, P., & Chen, J. (2025) · Digital Health · doi:10.1177/20552076251408281 · Cited by 2 · see citing works

Early detection of anorexia from reddit posts using time series based transformer model

Saini, S., & Sen, P. (2026) · Discover Computing · doi:10.1007/s10791-026-09903-3 · Cited by 2 · see citing works

MultiMentalRoBERTa: A Fine-Tuned Multiclass Classifier for Mental Health Disorder

Islam, K. M. S., Fields, J., & Madiraju, P. (2025) · IEEE International Conference on Big Data (BigData) · doi:10.1109/bigdata66926.2025.11400786 · Cited by 2 · see citing works

Advancing psychosocial disability and psychosocial rehabilitation research through large language models and computational text mining

Amirian, S., Kekre, A., Loganathan, B. J., Chavan, V., Kandula, P., Littlefield, N. G., Franco, J. R., Tafti, A. P., & Ebuenyi, I. D. (2024) · Cambridge Prisms Global Mental Health · doi:10.1017/gmh.2024.114 · Cited by 2 · see citing works

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models

Yang, K., Zhang, T., Kuang, Z., Xie, Q., Huang, J., & Ananiadou, S. (2024) · International World Wide Web Conference (WWW) · doi:10.1145/3589334.3648137 · Cited by 214 · see citing works

MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social MediaPreprint

Zhai, W., Bai, N., Zhao, Q., Li, J., Wang, F., Qi, H., Jiang, M., Wang, X., Yang, B. X., & Fu, G. (2024) · arXiv (Cornell University) · doi:10.48550/arxiv.2410.10323 · Cited by 1 · see citing works

Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data

Xu, X., Yao, B., Dong, Y., Gabriel, S., Yu, H., Hendler, J., Ghassemi, M., Dey, A. K., & Wang, D. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3643540 · Cited by 278 · see citing works

PRiME: Pragmatic Reasoning In MEntal healthPreprint

Oram, S., Padole, T. K., Bhattacharyya, P., & Awate, S. P. (2025) · arXiv (Cornell University) · doi:10.48550/arxiv.2507.23247

A Systematic Evaluation of LLM Strategies for Mental Health Text Analysis: Fine-tuning vs. Prompt Engineering vs. RAG

Kermani, A., Pérez‐Rosas, V., & Metsis, V. (2025) · Workshop on Computational Linguistics and Clinical Psychology (CLPsych) · doi:10.18653/v1/2025.clpsych-1.14 · Cited by 24 · see citing works