{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T13:13:01Z","timestamp":1784207581070,"version":"3.55.0"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819234349","type":"print"},{"value":"9789819234356","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T00:00:00Z","timestamp":1784246400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,7,17]],"date-time":"2026-07-17T00:00:00Z","timestamp":1784246400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-981-92-3435-6_24","type":"book-chapter","created":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T12:18:53Z","timestamp":1784204333000},"page":"281-292","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Dual-Agent Mental Health Counseling System with RAG and PEFT"],"prefix":"10.1007","author":[{"given":"Meihan","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sifan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiayue","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feiyan","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,17]]},"reference":[{"key":"24_CR1","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2025.1583739","volume":"16","author":"Y Kim","year":"2025","unstructured":"Kim, Y., Choi, C.H., Cho, S., Sohn, J.Y., Kim, B.H.: Aligning large language models for cognitive behavioral therapy: a proof-of-concept study. Front. Psychiatry. 16, 1583739 (2025)","journal-title":"Front. Psychiatry"},{"issue":"1","key":"24_CR2","first-page":"1","volume":"8","author":"X Xu","year":"2024","unstructured":"Xu, X., et al.: Mental-LLM: Leveraging large language models for mental health prediction via online text data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1), 1\u201332 (2024)","journal-title":"Proc. ACM Interact. Mob. Wearable Ubiquitous Technol."},{"issue":"6","key":"24_CR3","doi-asserted-by":"publisher","first-page":"589","DOI":"10.1001\/jamainternmed.2023.1838","volume":"183","author":"JW Ayers","year":"2023","unstructured":"Ayers, J.W., et al.: Comparing physician and artificial intelligence chatbot responses to patient questions posted to a public social media forum. JAMA Intern. Med. 183(6), 589\u2013596 (2023)","journal-title":"JAMA Intern. Med."},{"key":"24_CR4","doi-asserted-by":"publisher","DOI":"10.3389\/fpubh.2025.1635381","volume":"13","author":"S Xu","year":"2025","unstructured":"Xu, S., Yan, Z., Dai, C., Wu, F.: MEGA-RAG: a retrieval-augmented generation framework with multi-evidence guided answer refinement for mitigating hallucinations of LLMs in public health. Front. Public Health. 13, 1635381 (2025)","journal-title":"Front. Public Health"},{"issue":"2","key":"24_CR5","doi-asserted-by":"publisher","DOI":"10.1056\/AIoa2300068","volume":"1","author":"C Zakka","year":"2024","unstructured":"Zakka, C., et al.: Almanac\u2014retrieval-augmented language models for clinical medicine. NEJM AI. 1(2), AIoa2300068 (2024)","journal-title":"NEJM AI"},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Iftikhar, Z., Xiao, A., Ransom, S., Huang, J., Suresh, H.: How LLM counselors violate ethical standards in mental health practice: a practitioner-informed framework. In: Proceedings of the AAAI\/ACM Conference on AI, Ethics, and Society, vol. 8, pp. 1311\u20131323 (2025)","DOI":"10.1609\/aies.v8i2.36632"},{"key":"24_CR7","doi-asserted-by":"publisher","first-page":"2511","DOI":"10.18653\/v1\/2023.emnlp-main.153","volume-title":"Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing","author":"Y Liu","year":"2023","unstructured":"Liu, Y., Iter, D., Xu, Y., Wang, S., Xu, R., Zhu, C.: G-Eval: NLG evaluation using GPT-4 with better human alignment. In: Bouamor, H., Pino, J., Bali, K. (eds.) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pp. 2511\u20132522. Association for Computational Linguistics, Singapore (2023). https:\/\/doi.org\/10.18653\/v1\/2023.emnlp-main.153. https:\/\/aclanthology.org\/2023.emnlp-main.153\/"},{"key":"24_CR8","doi-asserted-by":"publisher","unstructured":"Shah, H.A., Islam, A., Tariq, Z.U.A., Belhaouari, S.B., Househ, M.: Retrieval augmented generation system for mental health information. In: Househ, M.S., Tariq, Z.U.A., Al-Zubaidi, M., Shah, U., Huesing, E. (eds.) MEDINFO 2025\u00a0-\u00a0Healthcare Smart X Medicine Deep, pp. 693\u2013697. https:\/\/doi.org\/10.3233\/SHTI250929","DOI":"10.3233\/SHTI250929"},{"key":"24_CR9","doi-asserted-by":"publisher","first-page":"1489","DOI":"10.18653\/v1\/2021.findings-acl.130","volume-title":"Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021","author":"H Sun","year":"2021","unstructured":"Sun, H., Lin, Z., Zheng, C., Liu, S., Huang, M.: PsyQA: A Chinese dataset for generating long counseling text for mental health support. In: Zong, C., Xia, F., Li, W., Navigli, R. (eds.) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 1489\u20131503. Association for Computational Linguistics (2021). https:\/\/doi.org\/10.18653\/v1\/2021.findings-acl.130. https:\/\/aclanthology.org\/2021.findings-acl.130\/"},{"key":"24_CR10","doi-asserted-by":"publisher","first-page":"13947","DOI":"10.18653\/v1\/2024.findings-acl.830","volume-title":"Findings of the Association for Computational Linguistics: ACL 2024","author":"C Zhang","year":"2024","unstructured":"Zhang, C., et al.: CPsyCoun: A report-based multi-turn dialogue reconstruction and evaluation framework for Chinese psychological counseling. In: Ku, L.W., Martins, A., Srikumar, V. (eds.) Findings of the Association for Computational Linguistics: ACL 2024, pp. 13947\u201313966. Association for Computational Linguistics, Bangkok, Thailand (2024). https:\/\/doi.org\/10.18653\/v1\/2024.findings-acl.830. https:\/\/aclanthology.org\/2024.findings-acl.830\/"},{"issue":"2","key":"24_CR11","first-page":"3","volume":"1","author":"EJ Hu","year":"2022","unstructured":"Hu, E.J., et al.: LoRA: Low-rank adaptation of large language models. ICLR. 1(2), 3 (2022)","journal-title":"ICLR"},{"key":"24_CR12","doi-asserted-by":"crossref","unstructured":"Dettmers, T., Pagnoni, A., Holtzman, A., Zettlemoyer, L.: QLoRA: Efficient finetuning of quantized LLMs. https:\/\/arxiv.org\/abs\/2305.14314 (2023)","DOI":"10.52202\/075280-0441"},{"key":"24_CR13","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1007\/978-981-97-5618-6_9","volume-title":"Advanced Intelligent Computing Technology and Applications","author":"H Zhang","year":"2024","unstructured":"Zhang, H., Chen, Y., Wang, M., Feng, S.: FEEL: A framework for evaluating emotional support capability with large language models. In: Huang, D.S., Chen, W., Zhang, Q. (eds.) Advanced Intelligent Computing Technology and Applications, pp. 96\u2013107. Springer Nature Singapore, Singapore (2024)"},{"issue":"2","key":"24_CR14","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1002\/wps.20989","volume":"21","author":"MB First","year":"2022","unstructured":"First, M.B., Yousif, L.H., Clarke, D.E., Wang, P.S., Gogtay, N., Appelbaum, P.S.: DSM-5-TR: Overview of what\u2019s new and what\u2019s changed. World Psychiatry. 21(2), 218 (2022)","journal-title":"World Psychiatry"},{"key":"24_CR15","unstructured":"Armstrong, H.L.: International classification of diseases, eleventh revision (ICD-11). https:\/\/eprints.soton.ac.uk\/446382\/ (2021)"},{"issue":"3","key":"24_CR16","doi-asserted-by":"publisher","first-page":"535","DOI":"10.1109\/TBDATA.2019.2921572","volume":"7","author":"J Johnson","year":"2019","unstructured":"Johnson, J., Douze, M., J\u00e9gou, H.: Billion-scale similarity search with gpus. IEEE Trans Big Data. 7(3), 535\u2013547 (2019)","journal-title":"IEEE Trans Big Data"},{"key":"24_CR17","unstructured":"Keskar, N.S., McCann, B., Varshney, L.R., Xiong, C., Socher, R.: CTRL: A conditional transformer language model for controllable generation. arXiv preprint arXiv:1909.05858 (2019)"},{"issue":"1","key":"24_CR18","doi-asserted-by":"publisher","first-page":"159","DOI":"10.2307\/2529310","volume":"33","author":"JR Landis","year":"1977","unstructured":"Landis, J.R., Koch, G.G.: The measurement of observer agreement for categorical data. Biometrics. 33(1), 159\u2013174 (1977)","journal-title":"Biometrics"}],"container-title":["Lecture Notes in Computer Science","Advanced Intelligent Computing Technology and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-3435-6_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T12:18:55Z","timestamp":1784204335000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-3435-6_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,17]]},"ISBN":["9789819234349","9789819234356"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-3435-6_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,17]]},"assertion":[{"value":"17 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICIC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Computing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toronto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2026a","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2026\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}