{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T11:00:17Z","timestamp":1781175617818,"version":"3.54.1"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819200702","type":"print"},{"value":"9789819200719","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-981-92-0071-9_22","type":"book-chapter","created":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T10:31:36Z","timestamp":1781173896000},"page":"321-336","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["ViHERMES: A Graph-Grounded Multihop Question Answering Benchmark and\u00a0System for\u00a0Vietnamese Healthcare Regulations"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-7488-4714","authenticated-orcid":false,"given":"Long S. T.","family":"Nguyen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quan M.","family":"Bui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tin T.","family":"Ngo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quynh T. N.","family":"Vo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dung N. H.","family":"Le","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0467-6254","authenticated-orcid":false,"given":"Tho T.","family":"Quan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,1]]},"reference":[{"key":"22_CR1","doi-asserted-by":"publisher","unstructured":"Do, D.T., et al.: A summary of the ALQAC 2024 competition. In: 2024 16th International Conference on Knowledge and System Engineering (KSE), pp. 422\u2013427 (2024). https:\/\/doi.org\/10.1109\/KSE63888.2024.11063484","DOI":"10.1109\/KSE63888.2024.11063484"},{"key":"22_CR2","doi-asserted-by":"crossref","unstructured":"Do, T.P.P., Cao, N.D.D., Tran, K.Q., Van Nguyen, K.: R2GQA: retriever-reader-generator question answering system to support students understanding legal regulations in higher education. Artif. Intell. Law (2025). https:\/\/doi.org\/10.1007\/s10506-025-09457-7","DOI":"10.1007\/s10506-025-09457-7"},{"key":"22_CR3","unstructured":"Edge, D., et al.: From local to global: a graph rag approach to query-focused summarization (2024)"},{"key":"22_CR4","unstructured":"Fan, T., Wang, J., Ren, X., Huang, C.: MiniRAG: towards extremely simple retrieval-augmented generation. arXiv preprint arXiv:2501.06713 (2025)"},{"key":"22_CR5","doi-asserted-by":"publisher","unstructured":"Guo, Z., Xia, L., Yu, Y., Ao, T., Huang, C.: LightRAG: simple and fast retrieval-augmented generation. In: Christodoulopoulos, C., Chakraborty, T., Rose, C., Peng, V. (eds.) Findings of the Association for Computational Linguistics: EMNLP 2025, pp. 10746\u201310761. Association for Computational Linguistics, Suzhou, China (2025). https:\/\/doi.org\/10.18653\/v1\/2025.findings-emnlp.568. https:\/\/aclanthology.org\/2025.findings-emnlp.568\/","DOI":"10.18653\/v1\/2025.findings-emnlp.568"},{"key":"22_CR6","unstructured":"Guti\u00e9rrez, B.J., Shu, Y., Qi, W., Zhou, S., Su, Y.: From RAG to memory: non-parametric continual learning for large language models. In: Forty-second International Conference on Machine Learning (2025). https:\/\/openreview.net\/forum?id=LWH8yn4HS2"},{"key":"22_CR7","doi-asserted-by":"publisher","unstructured":"Ha, N.T., et al.: Vietnamese legal question answering: an experimental study. In: 2024 16th International Conference on Knowledge and System Engineering (KSE), pp. 440\u2013446 (2024). https:\/\/doi.org\/10.1109\/KSE63888.2024.11063637","DOI":"10.1109\/KSE63888.2024.11063637"},{"key":"22_CR8","doi-asserted-by":"publisher","unstructured":"Lee, J., Kim, D., Hwang, S., Kim, H., Lee, G.: KoBLEX: open legal question answering with multi-hop reasoning. In: Christodoulopoulos, C., Chakraborty, T., Rose, C., Peng, V. (eds.) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp. 4019\u20134053. Association for Computational Linguistics, Suzhou, China (2025). https:\/\/doi.org\/10.18653\/v1\/2025.emnlp-main.200, https:\/\/aclanthology.org\/2025.emnlp-main.200\/","DOI":"10.18653\/v1\/2025.emnlp-main.200"},{"key":"22_CR9","unstructured":"Lewis, P., et al.: Retrieval-augmented generation for knowledge-intensive NLP tasks. In: Proceedings of the 34th International Conference on Neural Information Processing Systems. NIPS \u201920, Curran Associates Inc., Red Hook, NY, USA (2020)"},{"key":"22_CR10","doi-asserted-by":"publisher","unstructured":"Li, D., et al.: From generation to judgment: opportunities and challenges of LLM-as-a-judge. In: Christodoulopoulos, C., Chakraborty, T., Rose, C., Peng, V. (eds.) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, pp. 2757\u20132791. Association for Computational Linguistics, Suzhou, China (2025). https:\/\/doi.org\/10.18653\/v1\/2025.emnlp-main.138, https:\/\/aclanthology.org\/2025.emnlp-main.138\/","DOI":"10.18653\/v1\/2025.emnlp-main.138"},{"key":"22_CR11","doi-asserted-by":"crossref","unstructured":"de\u00a0Martim, H.: Graph RAG for legal norms: a hierarchical and temporal approach (2025)","DOI":"10.3233\/FAIA251598"},{"key":"22_CR12","doi-asserted-by":"publisher","unstructured":"Martinez-Gil, J.: A survey on legal question\u2013answering systems. Comput. Sci. Rev. 48, 100552 (2023). https:\/\/doi.org\/10.1016\/j.cosrev.2023.100552, https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1574013723000199","DOI":"10.1016\/j.cosrev.2023.100552"},{"key":"22_CR13","unstructured":"Minh, D.D., Van, V.N., Cong, T.D.: Using large language models for education managements in vietnamese with low resources. In: Oco, N., Dita, S.N., Borlongan, A.M., Kim, J.B. (eds.) Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, pp. 20\u201334. Tokyo University of Foreign Studies, Tokyo, Japan (2024). https:\/\/aclanthology.org\/2024.paclic-1.3\/"},{"key":"22_CR14","unstructured":"Nguyen, L.S.T., et al.: Can small language models handle vietnamese legal reasoning? insights from multi-task evaluation. In: Mai, L.C., Huyen, N.T.M., Trang, N.T.T. (eds.) Proceedings of the 11th International Workshop on Vietnamese Language and Speech Processing, pp. 165\u2013178. Association for Computational Linguistics, Hanoi, Vietnam (2025). https:\/\/aclanthology.org\/2025.vlsp-1.23\/"},{"key":"22_CR15","doi-asserted-by":"crossref","unstructured":"Nguyen, N.T.H., Ha, P.P.D., Nguyen, L.T., Van\u00a0Nguyen, K., Nguyen, N.L.T.: SPBERTQA: a two-stage question answering system based on sentence transformers for medical texts. In: Knowledge Science, Engineering and Management, pp. 371\u2013382. Springer International Publishing (2022)","DOI":"10.1007\/978-3-031-10986-7_30"},{"key":"22_CR16","doi-asserted-by":"publisher","unstructured":"Peng, B., et al.: Graph retrieval-augmented generation: a survey. ACM Trans. Inf. Syst. (2025). https:\/\/doi.org\/10.1145\/3777378, just Accepted","DOI":"10.1145\/3777378"},{"key":"22_CR17","doi-asserted-by":"publisher","unstructured":"Pham, V., Le, H.H., Ngo, T.P., Nguyen, B., Nguyen, D., Nguyen, H.D.: Enhancing legal research through knowledge-infused information retrieval for vietnamese labor law. IAES Int. J. Artif. Intell. (IJ-AI) 13(4), 3962\u20133973 (2024). https:\/\/doi.org\/10.11591\/ijai.v13.i4.pp3962-3973, https:\/\/ijai.iaescore.com\/index.php\/IJAI\/article\/view\/25255","DOI":"10.11591\/ijai.v13.i4.pp3962-3973"},{"key":"22_CR18","unstructured":"Sarthi, P., Abdullah, S., Tuli, A., Khanna, S., Goldie, A., Manning, C.D.: RAPTOR: recursive abstractive processing for tree-organized retrieval. In: The Twelfth International Conference on Learning Representations (2024). https:\/\/openreview.net\/forum?id=GN921JHCRw"},{"key":"22_CR19","doi-asserted-by":"publisher","unstructured":"Tran, M.N., Nguyen, P.V., Nguyen, L., Dinh, D.: ViMedAQA: a vietnamese medical abstractive question-answering dataset and findings of large language model. In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, pp. 252\u2013260. Association for Computational Linguistics (2024). https:\/\/doi.org\/10.18653\/v1\/2024.acl-srw.31. https:\/\/aclanthology.org\/2024.acl-srw.31\/","DOI":"10.18653\/v1\/2024.acl-srw.31"},{"key":"22_CR20","doi-asserted-by":"publisher","unstructured":"Trivedi, H., Balasubramanian, N., Khot, T., Sabharwal, A.: interleaving retrieval with chain-of-thought reasoning for knowledge-intensive multi-step questions. In: Rogers, A., Boyd-Graber, J., Okazaki, N. (eds.) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 10014\u201310037. Association for Computational Linguistics, Toronto, Canada (2023). https:\/\/doi.org\/10.18653\/v1\/2023.acl-long.557. https:\/\/aclanthology.org\/2023.acl-long.557\/","DOI":"10.18653\/v1\/2023.acl-long.557"},{"key":"22_CR21","doi-asserted-by":"publisher","unstructured":"Van\u00a0Nguyen, K., Van\u00a0Huynh, T., Nguyen, D.V., Nguyen, A.G.T., Nguyen, N.L.T.: New vietnamese corpus for machine reading comprehension of health news articles. ACM Trans. Asian Low-Res. Lang. Inf. Process. 21(5) (2022).https:\/\/doi.org\/10.1145\/3527631","DOI":"10.1145\/3527631"}],"container-title":["Lecture Notes in Computer Science","Intelligent Information and Database Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-0071-9_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T10:31:44Z","timestamp":1781173904000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-0071-9_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819200702","9789819200719"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-0071-9_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"1 June 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ACIIDS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asian Conference on Intelligent Information and Database Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Kaohsiung","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Taiwan","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":"13 April 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 April 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aciids2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aciids.pwr.edu.pl\/2026\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}