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Mental health challenges pose considerable global burdens on individuals and communities.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
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DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2020 · 1910
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An ultra-brief screening scale for anxiety and depression: The PHQ-4
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The Distress Analysis Interview Corpus of human and computer interviews. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14) , Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, and Stelios Piperidis (Eds.). European Language Resources Association (ELRA), Reykjavik, Iceland, 3123–3128
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CLPsych 2015 Shared Task: Depression and PTSD on Twitter. In Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality . Association for Computational Linguistics, Denver, Colorado, 31–39
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XGBoost: A Scalable Tree Boosting System. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (San Francisco, California, USA) (KDD ’16) . ACM, New York, NY, USA, 785–794
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Multi-Task Learning for Mental Health using Social Media Text
Adrian Benton, Margaret Mitchell, and Dirk Hovy. 2017 · 2017
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Detecting depression and mental illness on social media: an integrative review
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Attention is All you Need. In Advances in Neural Information Processing Systems , I. Guyon, U. Von Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett (Eds.), Vol. 30. Curran Associates, Inc
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First Insights on a Passive Major Depressive Disorder Prediction System with Incorporated Conversational Chatbot. In Irish Conference on Artificial Intelligence and Cognitive Science . Dublin, Ireland
Fionn Delahunty, Ian D. Wood, and Mihael Arcan. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Facebook language predicts depression in medical records
Johannes C. Eichstaedt, Robert J. Smith, Raina M. Merchant, Lyle H. Ungar, Patrick Crutchley, Daniel Preoţiuc-Pietro, David A. Asch, and H. Andrew Schwartz. 2018 · 2018
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Understanding and Measuring Psychological Stress using Social Media
Sharath Chandra Guntuku, Anneke Buffone, Kokil Jaidka, Johannes C. Eichstaedt, and Lyle H. Ungar. 2018 · 2018
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An overview of the features of chatbots in mental health: A scoping review
Alaa A. Abd-alrazaq, Mohannad Alajlani, Ali Abdallah Alalwan, Bridgette M. Bewick, Peter Gardner, and Mowafa Househ. 2019 · 2019
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Assessing the Usability of a Chatbot for Mental Health Care. In Internet Science , Svetlana S. Bodrunova, Olessia Koltsova, Asbjørn Følstad, Harry Halpin, Polina Kolozaridi, Leonid Yuldashev, Anna Smoliarova, and Heiko Niedermayer (Eds.). Springer International Publishing, Cham, 121–132
Gillian Cameron, David Cameron, Gavin Megaw, Raymond Bond, Maurice Mulvenna, Siobhan O’Neill, Cherie Armour, and Michael McTear. 2019 · 2019
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Can AI Help Reduce Disparities in General Medical and Mental Health Care?
Irene Y. Chen, Peter Szolovits, and Marzyeh Ghassemi. 2019 · 2019
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A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health
Adela C. Timmons, Jacqueline B. Duong, Natalia Simo Fiallo, Theodore Lee, Huong Phuc Quynh Vo, Matthew W. Ahle, Jonathan S. Comer, La Princess C. Brewer, Stacy L. Frazier, and Theodora Chaspari. 2023 · 2022
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Fine-tuning a LLM using Reinforcement Learning from Human Feedback for a Therapy Chatbot Application (Independent thesis Basic level, degree of Bachelor), KTH, School of Electrical Engineering and Computer Science (EECS)
Desiree Bill and Theodor Eriksson. 2023 · 2023
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Challenges of Large Language Models for Mental Health Counseling
Neo Christopher Chung, George Dyer, and Lennart Brocki. 2023 · 2023
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The Capability of Large Language Models to Measure Psychiatric Functioning
Isaac R. Galatzer-Levy, Daniel McDuff, Vivek Natarajan, Alan Karthikesalingam, and Matteo Malgaroli. 2023 · 2023
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Passive Diagnosis Incorporating the PHQ-4 for Depression and Anxiety. In Proceedings of the Social Media Mining for Health Applications (SMM4H) Workshop . Florence, Italy
Fionn Delahunty, Robert Johansson, and Mihael Arcan. 2019 · 2019
Cited alongside, same era.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) , Jill Burstein, Christy Doran, and Thamar Solorio (Eds.). Association for Computational Linguistics, Minneapolis, Minnesota, 4171–4186
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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XLNet: Generalized Autoregressive Pretraining for Language Understanding. In Proceedings of the 33rd International Conference on Neural Information Processing Systems . Curran Associates Inc., Red Hook, NY, USA, Article 517, 11 pages
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2019 · 2019
Cited alongside, same era.
Designing a Chatbot as a Mediator for Promoting Deep Self-Disclosure to a Real Mental Health Professional
Yi-Chieh Lee, Naomi Yamashita, and Yun Huang. 2020 · 2020
Cited alongside, same era.
Say ’YES’ to Positivity: Detecting Toxic Language in Workplace Communications. In Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021 , Marie-Francine Moens, Xuanjing Huang, Lucia Specia, and Scott Wen-tau Yih (Eds.). Association for Computational Linguistics, 2017–2029
Meghana Moorthy Bhat, Saghar Hosseini, Ahmed Hassan Awadallah, Paul N. Bennett, and Weisheng Li. 2021 · 2021
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Leveraging Collaborative-Filtering for Personalized Behavior Modeling: A Case Study of Depression Detection among College Students
Xuhai Xu, Prerna Chikersal, Janine M. Dutcher, Yasaman S. Sefidgar, Woosuk Seo, Michael J. Tumminia, Daniella K. Villalba, Sheldon Cohen, Kasey G. Creswell, J. David Creswell, Afsaneh Doryab, Paula S. Nurius, Eve Riskin, Anind K. Dey, and Jennifer Mankoff. 2021 · 2021
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Predicting Depression and Anxiety on Reddit: A Multi-Task Learning Approach. In Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (Istanbul, Turkey) (ASONAM ’22) . IEEE Press, 427–435
Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, and Chang-Tien Lu. 2023 · 2022
Cited alongside, same era.
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample. 2023a
Cited in the paper.
Multimodal mental health assessment with remote interviews using facial, vocal, linguistic, and cardiovascular patterns
Zifan Jiang, Salman Seyedi, Emily Griner, Ahmed Abbasi, Ali Bahrami Rad, Hyeokhyen Kwon, Robert O. Cotes, and Gari D. Clifford. 2023 · 2023
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PsyEval: A Comprehensive Large Language Model Evaluation Benchmark for Mental Health
Haoan Jin, Siyuan Chen, Mengyue Wu, and Kenny Q. Zhu. 2023 · 2023
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Towards automatic text-based estimation of depression through symptom prediction
Kirill Milintsevich, Kairit Sirts, and Gaël Dias. 2023 · 2023
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Large Language Models in Neurology Research and Future Practice
Michael F. Romano, Ludy C. Shih, Ioannis C. Paschalidis, Rhoda Au, and Vijaya B. Kolachalama. 2023 · 2023
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Large language models could change the future of behavioral healthcare: A proposal for responsible development and evaluation. PsyArXiv
Elizabeth C. Stade, Shannon Wiltsey Stirman, Lyle Ungar, Cody L. Boland, H. Andrew Schwartz, David B. Yaden, João Sedoc, Robert J. DeRubeis, Robb Willer, and Johannes C. Eichstaedt. 2023 · 2023
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Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, Saadia Gabriel, Hong Yu, James Hendler, Marzyeh Ghassemi, Anind K. Dey, and Dakuo Wang. 2023 · 2023
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MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models
Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie, Sophia Ananiadou, and Jimin Huang. 2023 · 2023
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