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This paper proposes a new depression detection system based on LLMs that is both interpretable and interactive.
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The Internet-a new source of data on suicide, depression and anxiety: a preliminary study
Sandor Fekete. 2002 · 2002
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Language use of depressed and depression-vulnerable college students
Stephanie Rude, Eva-Maria Gortner, and James Pennebaker. 2004 · 2004
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Depression: underdiagnosed, undertreated, underappreciated
David V Sheehan. 2004 · 2004
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Reluctance to seek help and the perception of anxiety and depression in the United Kingdom: A pilot vignette study
Sarah Edwards, Lucy Tinning, June SL Brown, Jed Boardman, and John Weinman. 2007 · 2007
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Depression: A global crisis. In World Mental Health Day, October 10 2012. . World Federation for Mental Health, VA, USA
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Depression in older people is underdiagnosed
Charlotte E Allan, Vyara Valkanova, and Klaus P Ebmeier. 2014 · 2014
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Instagram photos reveal predictive markers of depression
Andrew G Reece and Christopher M Danforth. 2017 · 2017
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Undiagnosed depression: A community diagnosis
Sharifa Z Williams, Grace S Chung, and Peter A Muennig. 2017 · 2017
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Depression and self-harm risk assessment in online forums
Andrew Yates, Arman Cohan, and Nazli Goharian. 2017 · 2017
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Utilizing neural networks and linguistic metadata for early detection of depression indications in text sequences
Marcel Trotzek, Sven Koitka, and Christoph M Friedrich. 2018 · 2018
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Cooperative multimodal approach to depression detection in twitter. In Proceedings of the AAAI conference on artificial intelligence , Vol. 33. 110–117
Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, and Zhigang Chen. 2019 · 2019
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of NAACL-HLT . 4171–4186
Jacob Devlin Ming-Wei Chang Kenton and Lee Kristina Toutanova. 2019 · 2019
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Multimodal topic-enriched auxiliary learning for depression detection. In Proceedings of the 28th international conference on computational linguistics . 1078–1089
Minghui An, Jingjing Wang, Shoushan Li, and Guodong Zhou. 2020 · 2020
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TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations . 119–126
John Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, and Yanjun Qi. 2020 · 2020
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Beyond modelling: Understanding mental disorders in online social media. In Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part I 42 . Springer, 296–310
Esteban Andrés Ríssola, Mohammad Aliannejadi, and Fabio Crestani. 2020 · 2020
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A time-aware transformer based model for suicide ideation detection on social media. In Proceedings of the 2020 conference on empirical methods in natural language processing (EMNLP) . 7685–7697
Ramit Sawhney, Harshit Joshi, Saumya Gandhi, and Rajiv Shah. 2020 · 2020
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Using twitter social media for depression detection in the canadian population. In 2020 3rd artificial intelligence and cloud computing conference . 109–114
Ruba Skaik and Diana Inkpen. 2020 · 2020
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A multitask deep learning approach for user depression detection on sina weibo
Yiding Wang, Zhenyi Wang, Chenghao Li, Yilin Zhang, and Haizhou Wang. 2020 · 2020
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Multimodal Depression Detection on Instagram Considering Time Interval of Posts
Chun Yueh Chiu, Hsien Yuan Lane, Jia Ling Koh, and Arbee L. P. Chen. 2021 · 2021
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Diagnostic and Statistical Manual of Mental Disorders-5 (DSM-5)
Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters
Boshi Wang, Sewon Min, Xiang Deng, Jiaming Shen, You Wu, Luke Zettlemoyer, and Huan Sun. 2022a · 2022
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Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, and Denny Zhou. 2022b · 2022
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al · 2022
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al · 2022
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Flora Ma. 2021 · 2021
Cited alongside, same era.
ClipCap: CLIP Prefix for Image Captioning
Ron Mokady, Amir Hertz, and Amit H Bermano. 2021 · 2021
Cited alongside, same era.
Multimodal few-shot learning with frozen language models
Maria Tsimpoukelli, Jacob L Menick, Serkan Cabi, SM Eslami, Oriol Vinyals, and Felix Hill. 2021 · 2021
Cited alongside, same era.
Prompting for Multimodal Hateful Meme Classification. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Abu Dhabi, United Arab Emirates, 321–332
Rui Cao, Roy Ka-Wei Lee, Wen-Haw Chong, and Jing Jiang. 2022 · 2022
Cited alongside, same era.
Wenhu Chen, Xueguang Ma, Xinyi Wang, and William W Cohen. 2022 · 2022
Cited alongside, same era.
Multimodal time-aware attention networks for depression detection
Ju Chun Cheng and Arbee LP Chen. 2022 · 2022
Cited alongside, same era.
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam M. Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Benton C. Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier García, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Díaz, Orhan Firat, Michele Catasta, Jason Wei, Kathleen S. Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, and Noah Fiedel. 2022 · 2022
Cited alongside, same era.
A Survey for In-context Learning
Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, and Zhifang Sui. 2022 · 2022
Cited alongside, same era.
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Chi, Quoc Le, and Denny Zhou. 2022c · 2022
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An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu, Zicheng Liu, and Lijuan Wang. 2022b · 2022
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Socratic models: Composing zero-shot multimodal reasoning with language
Andy Zeng, Adrian Wong, Stefan Welker, Krzysztof Choromanski, Federico Tombari, Aveek Purohit, Michael Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, et al · 2022
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OPT: Open Pre-trained Transformer Language Models
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, and Luke Zettlemoyer. 2022 · 2022
Later among the works it cites.
It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers. In European Conference on Information Retrieval
Ana-Maria Bucur, Adrian Cosma, Paolo Rosso, and Liviu P. Dinu. 2023 · 2023
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Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, and Jiawei Zhang. 2023 · 2023
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A Prompt-Based Topic-Modeling Method for Depression Detection on Low-Resource Data
Yanrong Guo, Jilong Liu, Lei Wang, Wei Qin, Shijie Hao, and Richang Hong. 2023 · 2023
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Jiabang He, Lei Wang, Yi Hu, Ning Liu, Hui Liu, Xing Xu, and Heng Tao Shen. 2023 · 2023
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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, et al · 2023
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ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models
Sheng Wang, Zihao Zhao, Xi Ouyang, Qian Wang, and Dinggang Shen. 2023 · 2023
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Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V Le, and Ed H. Chi. 2023 · 2023
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