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Advances in large language models (LLMs) have empowered a variety of applications.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Dreaddit: A Reddit Dataset for Stress Analysis in Social Media
Elsbeth Turcan and Kathleen McKeown. 2019 · 1911
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Large language models in machine translation
Thorsten Brants, Ashok C Popat, Peng Xu, Franz J Och, and Jeffrey Dean. 2007 · 2007
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Columbia-suicide severity rating scale (C-SSRS)
K Posner, D Brent, C Lucas, M Gould, B Stanley, G Brown, P Fisher, J Zelazny, A Burke, MJNY Oquendo, et al · 2008
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The balanced accuracy and its posterior distribution. In 2010 20th international conference on pattern recognition . IEEE, 3121–3124
Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, and Joachim M Buhmann. 2010 · 2010
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Feeling bad on Facebook: Depression disclosures by college students on a social networking site
Megan A Moreno, Lauren A Jelenchick, Katie G Egan, Elizabeth Cox, Henry Young, Kerry E Gannon, and Tara Becker. 2011 · 2011
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You Are What You Tweet: Analyzing Twitter for Public Health
Michael Paul and Mark Dredze. 2011 · 2011
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Suicide Announcement on Facebook
Thomas Ruder, Gary Hatch, Garyfalia Ampanozi, Michael Thali, and Nadja Fischer. 2011 · 2011
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Predicting Depression via Social Media
Munmun De Choudhury, Michael Gamon, Scott Counts, and Eric Horvitz. 2013b · 2013
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The DSM-5: Classification and criteria changes
Darrel A Regier, Emily A Kuhl, and David J Kupfer. 2013 · 2013
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Measuring Post Traumatic Stress Disorder in Twitter
Glen Coppersmith, Craig Harman, and Mark Dredze. 2014 · 2014
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Estimating county health statistics with twitter. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems . ACM, Toronto Ontario Canada, 1335–1344
Aron Culotta. 2014 · 2014
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Mental Health Discourse on reddit: Self-Disclosure, Social Support, and Anonymity
Munmun De Choudhury and Sushovan De. 2014 · 2014
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Another time point, a different story: one year effects of a social media intervention on the attitudes of young people towards mental health issues
James D. Livingston, Michelle Cianfrone, Kimberley Korf-Uzan, and Connie Coniglio. 2014 · 2014
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Affective and content analysis of online depression communities
Thin Nguyen, Dinh Phung, Bo Dao, Svetha Venkatesh, and Michael Berk. 2014 · 2014
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Machine Classification and Analysis of Suicide-Related Communication on Twitter. In Proceedings of the 26th ACM Conference on Hypertext & Social Media - HT ’15 . ACM Press, Guzelyurt, Northern Cyprus, 75–84
Pete Burnap, Walter Colombo, and Jonathan Scourfield. 2015 · 2015
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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
Glen Coppersmith, Mark Dredze, Craig Harman, Kristy Hollingshead, and Margaret Mitchell. 2015b · 2015
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Quantifying the Language of Schizophrenia in Social Media. In Proceedings of the 2nd Workshop on Computational Linguistics and Clinical Psychology: From Linguistic Signal to Clinical Reality . Association for Computational Linguistics, Denver, Colorado, 11–20
Margaret Mitchell, Kristy Hollingshead, and Glen Coppersmith. 2015 · 2015
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Recognizing Depression from Twitter Activity. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems . ACM, Seoul Republic of Korea, 3187–3196
Sho Tsugawa, Yusuke Kikuchi, Fumio Kishino, Kosuke Nakajima, Yuichi Itoh, and Hiroyuki Ohsaki. 2015 · 2015
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The language of mental health problems in social media. In Proceedings of the third workshop on computational linguistics and clinical psychology . 63–73
George Gkotsis, Anika Oellrich, Tim Hubbard, Richard Dobson, Maria Liakata, Sumithra Velupillai, and Rina Dutta. 2016 · 2016
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Predicting early psychiatric readmission with natural language processing of narrative discharge summaries
Anna Rumshisky, Marzyeh Ghassemi, Tristan Naumann, Peter Szolovits, VM Castro, TH McCoy, and RH Perlis. 2016 · 2016
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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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A collaborative approach to identifying social media markers of schizophrenia by employing machine learning and clinical appraisals
Michael L Birnbaum, Sindhu Kiranmai Ernala, Asra F Rizvi, Munmun De Choudhury, and John M Kane. 2017 · 2017
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Towards a chatbot for digital counselling
Gillian Cameron, David Cameron, Gavin Megaw, Raymond Bond, Maurice Mulvenna, Siobhan O’Neill, Cherie Armour, and Michael McTear. 2017 · 2017
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On integrating a language model into neural machine translation
Caglar Gulcehre, Orhan Firat, Kelvin Xu, Kyunghyun Cho, and Yoshua Bengio. 2017 · 2017
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Detecting depression and mental illness on social media: an integrative review
Sharath Chandra Guntuku, David B Yaden, Margaret L Kern, Lyle H Ungar, and Johannes C Eichstaedt. 2017 · 2017
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Monitoring Tweets for Depression to Detect At-risk Users. In Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology — From Linguistic Signal to Clinical Reality , Kristy Hollingshead, Molly E. Ireland, and Kate Loveys (Eds.). Association for Computational Linguistics, Vancouver, BC, 32–40
Zunaira Jamil, Diana Inkpen, Prasadith Buddhitha, and Kenton White. 2017 · 2017
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Inferring Mood Instability on Social Media by Leveraging Ecological Momentary Assessments
Koustuv Saha, Larry Chan, Kaya De Barbaro, Gregory D. Abowd, and Munmun De Choudhury. 2017 · 2017
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Detecting Anxiety through Reddit. In Proceedings of the Fourth Workshop on Computational Linguistics and Clinical Psychology — From Linguistic Signal to Clinical Reality . Association for Computational Linguistics, Vancouver, BC, 58–65
Judy Hanwen Shen and Frank Rudzicz. 2017 · 2017
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Natural language processing of social media as screening for suicide risk
Glen Coppersmith, Ryan Leary, Patrick Crutchley, and Alex Fine. 2018a · 2018
Earlier work this paper cites.
Natural Language Processing of Social Media as Screening for Suicide Risk
Glen Coppersmith, Ryan Leary, Patrick Crutchley, and Alex Fine. 2018b · 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
Earlier work this paper cites.
Supervised learning for suicidal ideation detection in online user content
Shaoxiong Ji, Celina Ping Yu, Sai-fu Fung, Shirui Pan, and Guodong Long. 2018 · 2018
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PsyHeal: An Approach to Remote Mental Health Monitoring System. In 2018 International Conference on Advances in Computing and Communication Engineering (ICACCE) . IEEE, 384–393
Vivek Patel, Piyush Mishra, and JC Patni. 2018 · 2018
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Improving Language Understanding by Generative Pre-Training
Alec Radford, Karthik Narasimhan, Tim Salimans, and Ilya Sutskever. 2018 · 2018
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The Use of Social Networking Sites in Mental Health Interventions for Young People: Systematic Review
Brad Ridout and Andrew Campbell. 2018 · 2018
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Exploring and learning suicidal ideation connotations on social media with deep learning. In Proceedings of the 9th workshop on computational approaches to subjectivity, sentiment and social media analysis . 167–175
Ramit Sawhney, Prachi Manchanda, Puneet Mathur, Rajiv Shah, and Raj Singh. 2018 · 2018
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Mental health support and its relationship to linguistic accommodation in online communities. In Proceedings of the 2018 CHI conference on human factors in computing systems . 1–13
Eva Sharma and Munmun De Choudhury. 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
Earlier work this paper cites.
Assessing the Usability of a Chatbot for Mental Health Care
Gillian Cameron, David Cameron, Gavin Megaw, Raymond Bond, Maurice Mulvenna, Siobhan O’Neill, Cherie Armour, and Michael McTear. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention. In The World Wide Web Conference . ACM, San Francisco CA USA, 514–525
Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit Sheth, Randy Welton, and Jyotishman Pathak. 2019 · 2019
Earlier work this paper cites.
Artificial intelligence for mental health and mental illnesses: an overview
Sarah Graham, Colin Depp, Ellen E Lee, Camille Nebeker, Xin Tu, Ho-Cheol Kim, and Dilip V Jeste. 2019 · 2019
Cited alongside, same era.
Understanding and measuring psychological stress using social media. In Proceedings of the international AAAI conference on web and social media , Vol. 13. 214–225
Sharath Chandra Guntuku, Anneke Buffone, Kokil Jaidka, Johannes C Eichstaedt, and Lyle H Ungar. 2019 · 2019
Cited alongside, same era.
Can AI Help Reduce Disparities in General Medical and Mental Health Care?
Irene Y. Chen, Peter Szolovits, and Marzyeh Ghassemi. 2019 · 2019
Cited alongside, same era.
Technology and mental health: the role of artificial intelligence
Christopher A Lovejoy. 2019 · 2019
Cited alongside, same era.
Detection of depression-related posts in reddit social media forum
Michael M Tadesse, Hongfei Lin, Bo Xu, and Liang Yang. 2019a · 2019
Cited alongside, same era.
Social media-based interventions for adolescent and young adult mental health: A scoping review
Kaylee Payne Kruzan, Kofoworola D.A. Williams, Jonah Meyerhoff, Dong Whi Yoo, Linda C. O’Dwyer, Munmun De Choudhury, and David C. Mohr. 2022 · 2022
Later among the works it cites.
Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification. In Proceedings of the ACM Web Conference 2022 . ACM, Virtual Event, Lyon France, 2563–2572
Usman Naseem, Adam G. Dunn, Jinman Kim, and Matloob Khushi. 2022 · 2022
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A Survey of Passive Sensing in the Workplace
Subigya Nepal, Gonzalo J. Martinez, Shayan Mirjafari, Koustuv Saha, Vedant Das Swain, Xuhai Xu, Pino G. Audia, Munmun De Choudhury, Anind K. Dey, Aaron Striegel, and Andrew T. Campbell. 2022 · 2022
Later among the works it cites.
Improving the generalizability of depression detection by leveraging clinical questionnaires
Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, and Arman Cohan. 2022 · 2022
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Detection of Suicide Ideation in Social Media Forums Using Deep Learning
Michael Mesfin Tadesse, Hongfei Lin, Bo Xu, and Liang Yang. 2019b · 2019
Cited alongside, same era.
Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students
Xuhai Xu, Prerna Chikersal, Afsaneh Doryab, Daniella K. Villalba, Janine M. Dutcher, Michael J. Tumminia, Tim Althoff, Sheldon Cohen, Kasey G. Creswell, J. David Creswell, Jennifer Mankoff, and Anind K. Dey. 2019 · 2019
Cited alongside, same era.
Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems , Vol. 33. Curran Associates, Inc., 1877–1901
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
Cited alongside, same era.
Methods in predictive techniques for mental health status on social media: a critical review
Stevie Chancellor and Munmun De Choudhury. 2020 · 2020
Cited alongside, same era.
A mental health chatbot for regulating emotions (SERMO)-concept and usability test
Kerstin Denecke, Sayan Vaaheesan, and Aaganya Arulnathan. 2020 · 2020
Cited alongside, same era.
Detection of mental health from reddit via deep contextualized representations. In Proceedings of the 11th international workshop on health text mining and information analysis . 147–156
Zheng Ping Jiang, Sarah Ita Levitan, Jonathan Zomick, and Julia Hirschberg. 2020 · 2020
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.
Stress detection using natural language processing and machine learning over social interactions
Tanya Nijhawan, Girija Attigeri, and T Ananthakrishna. 2022 · 2022
Later among the works it cites.
A review on fairness in machine learning
Dana Pessach and Erez Shmueli. 2022 · 2022
Later among the works it cites.
Data Set Creation and Empirical Analysis for Detecting Signs of Depression from Social Media Postings
Kayalvizhi Sampath and Thenmozhi Durairaj. 2022 · 2022
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Predicting depression and anxiety on reddit: a multi-task learning approach. In 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) . IEEE, 427–435
Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, and Chang-Tien Lu. 2022 · 2022
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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, LaPrincess C Brewer, Stacy L Frazier, and Theodora Chaspari. 2022 · 2022
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Finetuned Language Models Are Zero-Shot Learners
Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, and Quoc V. Le. 2022 · 2022
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GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization. In Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track . 18
Xuhai Xu, Han Zhang, Yasaman Sefidgar, Yiyi Ren, Xin Liu, Woosuk Seo, Jennifer Brown, Kevin Kuehn, Mike Merrill, Paula Nurius, Shwetak Patel, Tim Althoff, Margaret E Morris, Eve Riskin, Jennifer Mankoff, and Anind K Dey. 2022 · 2022
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Will Affective Computing Emerge from Foundation Models and General AI? A First Evaluation on ChatGPT
Mostafa M. Amin, Erik Cambria, and Björn W. Schuller. 2023 · 2023
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Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data
Aparna Balagopalan, David Madras, David H. Yang, Dylan Hadfield-Menell, Gillian K. Hadfield, and Marzyeh Ghassemi. 2023 · 2023
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In-Context Ability Transfer for Question Decomposition in Complex QA
Sourangshu Bhattacharya, Avishek Anand, et al · 2023
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Sparks of Artificial General Intelligence: Early experiments with GPT-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, and Yi Zhang. 2023 · 2023
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Analyzing the use of large language models for content moderation with chatgpt examples. In Proceedings of the 3rd International Workshop on Open Challenges in Online Social Networks . 1–8
Mirko Franco, Ombretta Gaggi, and Claudio E Palazzi. 2023 · 2023
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Sourojit Ghosh and Aylin Caliskan. 2023 · 2023
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An eating disorder chatbot is suspended for giving harmful advice
Amanda Hoover. 2023 · 2023
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External validation of a deep learning model for breast density classification. In ECR 2023 EPOS
M. J. N. Bento e Silva J. Abrantes. 2023 · 2023
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Health system-scale language models are all-purpose prediction engines
Lavender Yao Jiang, Xujin Chris Liu, Nima Pour Nejatian, Mustafa Nasir-Moin, Duo Wang, Anas Abidin, Kevin Eaton, Howard Antony Riina, Ilya Laufer, Paawan Punjabi, Madeline Miceli, Nora C. Kim, Cordelia Orillac, Zane Schnurman, Christopher Livia, Hannah Weiss, David Kurland, Sean Neifert, Yosef Dastagirzada, Douglas Kondziolka, Alexander T. M. Cheung, Grace Yang, Ming Cao, Mona Flores, Anthony B. Costa, Yindalon Aphinyanaphongs, Kyunghyun Cho, and Eric Karl Oermann. 2023 · 2023
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Understanding the benefits and challenges of deploying conversational AI leveraging large language models for public health intervention. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–16
Eunkyung Jo, Daniel A Epstein, Hyunhoon Jung, and Young-Ho Kim. 2023 · 2023
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Harnessing Large Language Models for Cognitive Assistants in Factories. In Proceedings of the 5th International Conference on Conversational User Interfaces . 1–6
Samuel Kernan Freire, Mina Foosherian, Chaofan Wang, and Evangelos Niforatos. 2023 · 2023
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ChatGPT: Jack of all trades, master of none
Jan Kocoń, Igor Cichecki, Oliwier Kaszyca, Mateusz Kochanek, Dominika Szydło, Joanna Baran, Julita Bielaniewicz, Marcin Gruza, Arkadiusz Janz, Kamil Kanclerz, et al · 2023
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Evaluation of ChatGPT for NLP-based Mental Health Applications
Bishal Lamichhane. 2023 · 2023
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Compressing Context to Enhance Inference Efficiency of Large Language Models
Yucheng Li, Bo Dong, Chenghua Lin, and Frank Guerin. 2023a · 2023
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Large Language Models are Few-Shot Health Learners. In arXiv
Xin Liu, Daniel McDuff, Geza Kovacs, Isaac Galatzer-Levy, Jacob Sunshine, Jiening Zhan, Ming-Zher Poh, Shun Liao, Paolo Di Achille, and Shwetak Patel. 2023 · 2023
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Trustworthy Embodied Conversational Agents for Healthcare: A Design Exploration of Embodied Conversational Agents for the periconception period at Erasmus MC. In Proceedings of the 5th International Conference on Conversational User Interfaces . 1–14
Maria Luce Lupetti, Emma Hagens, Willem Van Der Maden, Régine Steegers-Theunissen, and Melek Rousian. 2023 · 2023
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Classification of breast cancer in Mri with multimodal fusion. In 2023 IEEE 20th international symposium on biomedical imaging (ISBI) . IEEE, 1–4
Margarida Morais, Francisco Maria Calisto, Carlos Santiago, Clara Aleluia, and Jacinto C Nascimento. 2023 · 2023
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Capabilities of GPT-4 on Medical Challenge Problems
Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, and Eric Horvitz. 2023 · 2023
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Reham Omar, Omij Mangukiya, Panos Kalnis, and Essam Mansour. 2023 · 2023
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Is ChatGPT a general-purpose natural language processing task solver?
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, and Diyi Yang. 2023 · 2023
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Leveraging Large Language Models for Multiple Choice Question Answering. In The Eleventh International Conference on Learning Representations
Joshua Robinson and David Wingate. 2023 · 2023
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Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support
Ashish Sharma, Inna W. Lin, Adam S. Miner, David C. Atkins, and Tim Althoff. 2023 · 2023
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Towards Expert-Level Medical Question Answering with Large Language Models
Karan Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Mike Schaekermann, Amy Wang, Mohamed Amin, Sami Lachgar, Philip Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Aguera y Arcas, Nenad Tomasev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joelle Barral, Dale Webster, Greg S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, and Vivek Natarajan. 2023 · 2023
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Stanford alpaca: An instruction-following llama model
Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B. Hashimoto. 2023 · 2023
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou. 2023 · 2023
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PMC-LLaMA: Further Finetuning LLaMA on Medical Papers
Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, and Weidi Xie. 2023 · 2023
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GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling
Xuhai Xu, Xin Liu, Han Zhang, Weichen Wang, Subigya Nepal, Yasaman Sefidgar, Woosuk Seo, Kevin S. Kuehn, Jeremy F. Huckins, Margaret E. Morris, Paula S. Nurius, Eve A. Riskin, Shwetak Patel, Tim Althoff, Andrew Campbell, Anind K. Dey, and Jennifer Mankoff. 2023 · 2023
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Can chatgpt understand too? a comparative study on chatgpt and fine-tuned bert
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, and Dacheng Tao. 2023 · 2023
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Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc Le, and Ed Chi. 2023 · 2023
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Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems . ACM, San Jose California USA, 2098–2110
Munmun De Choudhury, Emre Kiciman, Mark Dredze, Glen Coppersmith, and Mrinal Kumar. 2016 · 2098
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