{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T03:14:05Z","timestamp":1768792445074,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2023YFC2506803"],"award-info":[{"award-number":["2023YFC2506803"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62072152, 62172137, 72188101"],"award-info":[{"award-number":["62072152, 62172137, 72188101"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,27]]},"DOI":"10.1145\/3746027.3754755","type":"proceedings-article","created":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T07:27:39Z","timestamp":1761377259000},"page":"5480-5489","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["InterMind: Doctor-Patient-Family Interactive Depression Assessment Empowered by Large Language Models"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-9376-7045","authenticated-orcid":false,"given":"Zhiyuan","family":"Zhou","sequence":"first","affiliation":[{"name":"Hefei University of Technology, Hefei, Anhui, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7326-9740","authenticated-orcid":false,"given":"Jilong","family":"Liu","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, Anhui, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-0488-3044","authenticated-orcid":false,"given":"Sanwang","family":"Wang","sequence":"additional","affiliation":[{"name":"Wuhan University, Wuhan, Hubei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3181-1220","authenticated-orcid":false,"given":"Shijie","family":"Hao","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, Anhui, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6949-4879","authenticated-orcid":false,"given":"Yanrong","family":"Guo","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, Anhui, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5461-3986","authenticated-orcid":false,"given":"Richang","family":"Hong","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, Anhui, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,10,27]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al.","author":"Achiam Josh","year":"2023","unstructured":"Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al., 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023)."},{"key":"e_1_3_2_1_2_1","volume-title":"Self-rag: Learning to retrieve, generate, and critique through self-reflection. arXiv preprint arXiv:2310.11511","author":"Asai Akari","year":"2023","unstructured":"Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi. 2023. Self-rag: Learning to retrieve, generate, and critique through self-reflection. arXiv preprint arXiv:2310.11511 (2023)."},{"key":"e_1_3_2_1_3_1","volume-title":"LLM-empowered chatbots for psychiatrist and patient simulation: application and evaluation. arXiv preprint arXiv:2305.13614","author":"Chen Siyuan","year":"2023","unstructured":"Siyuan Chen, Mengyue Wu, Kenny Q Zhu, Kunyao Lan, Zhiling Zhang, and Lyuchun Cui. 2023. LLM-empowered chatbots for psychiatrist and patient simulation: application and evaluation. arXiv preprint arXiv:2305.13614 (2023)."},{"key":"e_1_3_2_1_4_1","volume-title":"From local to global: A graph rag approach to query-focused summarization. arXiv preprint arXiv:2404.16130","author":"Edge Darren","year":"2024","unstructured":"Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, and Jonathan Larson. 2024. From local to global: A graph rag approach to query-focused summarization. arXiv preprint arXiv:2404.16130 (2024)."},{"key":"e_1_3_2_1_5_1","unstructured":"Team GLM Aohan Zeng Bin Xu Bowen Wang Chenhui Zhang Da Yin Diego Rojas Guanyu Feng Hanlin Zhao Hanyu Lai et al. 2024. ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. arXiv preprint arXiv:2406.12793 (2024)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13643-023-02177-6"},{"key":"e_1_3_2_1_7_1","volume-title":"Janice Huiqin Weng, Jimmy Lee, and Robert JT Morris.","author":"Heaukulani Creighton","year":"2024","unstructured":"Creighton Heaukulani, Ye Sheng Phang, Janice Huiqin Weng, Jimmy Lee, and Robert JT Morris. 2024. Deploying AI Methods for Mental Health in Singapore: From Mental Wellness to Serious Mental Health Conditions.. In Proceedings of ML4CMH@ AAAI. 84-93."},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of ICLR.","author":"Hu Edward J","year":"2022","unstructured":"Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al., 2022. Lora: Low-rank adaptation of large language models. In Proceedings of ICLR."},{"key":"e_1_3_2_1_9_1","volume-title":"PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluation. arXiv preprint arXiv:2407.05721","author":"Hu Jinpeng","year":"2024","unstructured":"Jinpeng Hu, Tengteng Dong, Hui Ma, Peng Zou, Xiao Sun, and Meng Wang. 2024. PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluation. arXiv preprint arXiv:2407.05721 (2024)."},{"key":"e_1_3_2_1_10_1","volume-title":"Sung Ju Hwang, and Jong C Park","author":"Jeong Soyeong","year":"2024","unstructured":"Soyeong Jeong, Jinheon Baek, Sukmin Cho, Sung Ju Hwang, and Jong C Park. 2024. Adaptive-rag: Learning to adapt retrieval-augmented large language models through question complexity. arXiv preprint arXiv:2403.14403 (2024)."},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of LREC.","author":"Ji Shaoxiong","year":"2022","unstructured":"Shaoxiong Ji, Tianlin Zhang, Luna Ansari, Jie Fu, Prayag Tiwari, and Erik Cambria. 2022. MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare. In Proceedings of LREC."},{"key":"e_1_3_2_1_12_1","volume-title":"MMDA: A Multimodal Dataset for Depression and Anxiety Detection. In International Conference on Pattern Recognition. Springer, 691-702","author":"Jiang Yueqi","year":"2022","unstructured":"Yueqi Jiang, Ziyang Zhang, and Xiao Sun. 2022. MMDA: A Multimodal Dataset for Depression and Anxiety Detection. In International Conference on Pattern Recognition. Springer, 691-702."},{"key":"e_1_3_2_1_13_1","volume-title":"Addressing shortages in the psychiatry workforce. Psychiatric Times","author":"Johnson Robin M","year":"2022","unstructured":"Robin M Johnson. 2022. Addressing shortages in the psychiatry workforce. Psychiatric Times (2022)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642937"},{"key":"e_1_3_2_1_15_1","volume-title":"Dobson","author":"Kraljevic Zeljko","year":"2021","unstructured":"Zeljko Kraljevic, Anthony Shek, Daniel M Bean, Rebecca Bendayan, James T. H. Teo, and Richard J. B. Dobson. 2021. MedGPT: Medical Concept Prediction from Clinical Narratives. ArXiv, Vol. abs\/2107.03134 (2021). https:\/\/api.semanticscholar.org\/CorpusID:235755486"},{"key":"e_1_3_2_1_16_1","first-page":"9459","article-title":"Retrieval-augmented generation for knowledge-intensive nlp tasks","volume":"33","author":"Lewis Patrick","year":"2020","unstructured":"Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich K\u00fcttler, Mike Lewis, Wen-tau Yih, Tim Rockt\u00e4schel, et al., 2020. Retrieval-augmented generation for knowledge-intensive nlp tasks. Advances in Neural Information Processing Systems, Vol. 33 (2020), 9459-9474.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i20.30228"},{"key":"e_1_3_2_1_18_1","volume-title":"Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101","author":"Loshchilov Ilya","year":"2017","unstructured":"Ilya Loshchilov and Frank Hutter. 2017. Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101 (2017)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2021.747139"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512128"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642680"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413486"},{"key":"e_1_3_2_1_23_1","unstructured":"World Health Organization et al. 2017. Depression and other common mental disorders: global health estimates. Technical Report. World Health Organization."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-5903"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.ltedi-1.40"},{"key":"e_1_3_2_1_26_1","volume-title":"Smile: Single-turn to multi-turn inclusive language expansion via chatgpt for mental health support. arXiv preprint arXiv:2305.00450","author":"Qiu Huachuan","year":"2023","unstructured":"Huachuan Qiu, Hongliang He, Shuai Zhang, Anqi Li, and Zhenzhong Lan. 2023. Smile: Single-turn to multi-turn inclusive language expansion via chatgpt for mental health support. arXiv preprint arXiv:2305.00450 (2023)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/BHI58575.2023.10313367"},{"key":"e_1_3_2_1_28_1","first-page":"24","article-title":"Depressnet: A multimodal hierarchical attention mechanism approach for depression detection","volume":"15","author":"Saggu Guramritpal Singh","year":"2022","unstructured":"Guramritpal Singh Saggu, Keshav Gupta, KV Arya, and Ciro Rodriguez Rodriguez. 2022. Depressnet: A multimodal hierarchical attention mechanism approach for depression detection. Int. J. Eng. Sci, Vol. 15, 1 (2022), 24-32.","journal-title":"Int. J. Eng. Sci"},{"key":"e_1_3_2_1_29_1","volume-title":"Character-llm: A trainable agent for role-playing. arXiv preprint arXiv:2310.10158","author":"Shao Yunfan","year":"2023","unstructured":"Yunfan Shao, Linyang Li, Junqi Dai, and Xipeng Qiu. 2023. Character-llm: A trainable agent for role-playing. arXiv preprint arXiv:2310.10158 (2023)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746569"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/BIBM58861.2023.10385480"},{"key":"e_1_3_2_1_32_1","unstructured":"Hugo Touvron Louis Martin Kevin Stone Peter Albert Amjad Almahairi Yasmine Babaei Nikolay Bashlykov Soumya Batra Prajjwal Bhargava Shruti Bhosale et al. 2023. Llama 2: Open foundation and fine-tuned chat models. arXiv preprint arXiv:2307.09288 (2023)."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2022.3179478"},{"key":"e_1_3_2_1_34_1","volume-title":"Roy Ka-Wei Lee, and Ee-Peng Lim","author":"Wang Lei","year":"2023","unstructured":"Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, and Ee-Peng Lim. 2023. Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models. arXiv preprint arXiv:2305.04091 (2023)."},{"key":"e_1_3_2_1_35_1","first-page":"24824","article-title":"Chain-of-thought prompting elicits reasoning in large language models","volume":"35","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al., 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in Neural Information Processing Systems, Vol. 35 (2022), 24824-24837.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1037\/0033-2909.126.6.946"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746634"},{"key":"e_1_3_2_1_38_1","first-page":"1","article-title":"Mental-llm: Leveraging large language models for mental health prediction via online text data. In Proceedings of the ACM on Interactive","author":"Xu Xuhai","year":"2024","unstructured":"Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, Saadia Gabriel, Hong Yu, James Hendler, Marzyeh Ghassemi, Anind K Dey, and Dakuo Wang. 2024. Mental-llm: Leveraging large language models for mental health prediction via online text data. In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 1-32.","journal-title":"Mobile, Wearable and Ubiquitous Technologies."},{"key":"e_1_3_2_1_39_1","unstructured":"Aiyuan Yang Bin Xiao Bingning Wang Borong Zhang Ce Bian Chao Yin Chenxu Lv Da Pan Dian Wang Dong Yan et al. 2023. Baichuan 2: Open large-scale language models. arXiv preprint arXiv:2309.10305 (2023)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3648137"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3479236"},{"key":"e_1_3_2_1_42_1","volume-title":"Proceedings of the 31th International Joint Conference on Artificial Intelligence (IJCAI), Lud De Raedt (Ed.). International Joint Conferences on Artificial Intelligence Organization, 5220-5226","author":"Zhang Zhiling","unstructured":"Zhiling Zhang, Siyuan Chen, Mengyue Wu, and Kenny Q. Zhu. 2022a. Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression. In Proceedings of the 31th International Joint Conference on Artificial Intelligence (IJCAI), Lud De Raedt (Ed.). International Joint Conferences on Artificial Intelligence Organization, 5220-5226. AI for Good."},{"key":"e_1_3_2_1_43_1","volume-title":"Automatic chain of thought prompting in large language models. arXiv preprint arXiv:2210.03493","author":"Zhang Zhuosheng","year":"2022","unstructured":"Zhuosheng Zhang, Aston Zhang, Mu Li, and Alex Smola. 2022b. Automatic chain of thought prompting in large language models. arXiv preprint arXiv:2210.03493 (2022)."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3202294"}],"event":{"name":"MM '25: The 33rd ACM International Conference on Multimedia","location":"Dublin Ireland","acronym":"MM '25","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 33rd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746027.3754755","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T05:01:56Z","timestamp":1765342916000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746027.3754755"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,27]]},"references-count":44,"alternative-id":["10.1145\/3746027.3754755","10.1145\/3746027"],"URL":"https:\/\/doi.org\/10.1145\/3746027.3754755","relation":{},"subject":[],"published":{"date-parts":[[2025,10,27]]},"assertion":[{"value":"2025-10-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}