{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T19:12:46Z","timestamp":1776107566867,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819756773","type":"print"},{"value":"9789819756780","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-981-97-5678-0_34","type":"book-chapter","created":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T16:04:18Z","timestamp":1722528258000},"page":"398-409","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Enhancing Retrieval-Augmented Generation Models with Knowledge Graphs: Innovative Practices Through a Dual-Pathway Approach"],"prefix":"10.1007","author":[{"given":"Sheng","family":"Xu","sequence":"first","affiliation":[]},{"given":"Mike","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Shuwen","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,8,1]]},"reference":[{"key":"34_CR1","doi-asserted-by":"crossref","unstructured":"Ray, P.P.: ChatGPT: a comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things Cyber-Phys. Syst. 3, 121\u2013154 (2023). https:\/\/doi.org\/10.1016\/j.iotcps","DOI":"10.1016\/j.iotcps.2023.04.003"},{"key":"34_CR2","doi-asserted-by":"crossref","unstructured":"Lee, K., Chang, M.-W., Toutanova, K.: Latent retrieval for weakly supervised open domain question answering. arXiv preprint arXiv:1906.00300 (2019)","DOI":"10.18653\/v1\/P19-1612"},{"key":"34_CR3","first-page":"9459","volume":"33","author":"P Lewis","year":"2020","unstructured":"Lewis, P., et al.: Retrieval-augmented generation for knowledge-intensive NLP tasks. Adv. Neural. Inf. Process. Syst. 33, 9459\u20139474 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"34_CR4","unstructured":"Guu, K., et al.: Retrieval augmented language model pre-training. In: International Conference on Machine Learning. PMLR (2020)"},{"key":"34_CR5","unstructured":"Diffbot. https:\/\/www.diffbot.com\/"},{"key":"34_CR6","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1162\/tacl_a_00638","volume":"12","author":"NF Liu","year":"2024","unstructured":"Liu, N.F., et al.: Lost in the middle: How language models use long contexts. Trans. Assoc. Comput. Linguist. 12, 157\u2013173 (2024)","journal-title":"Trans. Assoc. Comput. Linguist."},{"key":"34_CR7","unstructured":"Gao, Y., et al.: Retrieval-augmented generation for large language models: a survey. arXiv preprint arXiv:2312.10997 (2023)"},{"key":"34_CR8","doi-asserted-by":"crossref","unstructured":"Wang, Y., et al.: Knowledge graph prompting for multi-document question answering. In: Proceedings of the AAAI Conference on Artificial Intelligence (2024)","DOI":"10.1609\/aaai.v38i17.29889"},{"key":"34_CR9","unstructured":"Sun, J., et al.: Think-on-graph: Deep and responsible reasoning of large language model with knowledge graph. arXiv preprint arXiv:2307.07697 (2023)"},{"key":"34_CR10","doi-asserted-by":"crossref","unstructured":"Baek, J., Aji, A.F., Saffari, A.: Knowledge-augmented language model prompting for zero-shot knowledge graph question answering. arXiv preprint arXiv:2306.04136 (2023)","DOI":"10.18653\/v1\/2023.nlrse-1.7"},{"key":"34_CR11","unstructured":"Yoran, O., et al.: Making retrieval-augmented language models robust to irrelevant context. arXiv preprint arXiv:2310.01558 (2023)"},{"key":"34_CR12","doi-asserted-by":"crossref","unstructured":"Wang, Y., et al.: Self-knowledge guided retrieval augmentation for large language models. arXiv preprint arXiv:2310.05002 (2023)","DOI":"10.18653\/v1\/2023.findings-emnlp.691"},{"key":"34_CR13","unstructured":"Asai, A., et al.: Self-RAG: learning to retrieve, generate, and critique through self-reflection. arXiv preprint arXiv:2310.11511 (2023)"},{"key":"34_CR14","unstructured":"Yu, W., et al.: Chain-of-Note: enhancing robustness in retrieval-augmented language models. arXiv preprint arXiv:2311.09210 (2023)"},{"key":"34_CR15","unstructured":"Yan, S.-Q., et al.: Corrective Retrieval Augmented Generation. arXiv preprint arXiv:2401.15884 (2024)"},{"key":"34_CR16","unstructured":"Wang, J., et al.: Boosting language models reasoning with chain-of-knowledge prompting. arXiv preprint arXiv:2306.06427 (2023)"},{"key":"34_CR17","unstructured":"Park, J., et al.: Graph-guided reasoning for multi-hop question answering in large language models. arXiv preprint arXiv:2311.09762 (2023)"},{"issue":"2","key":"34_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3589777","volume":"1","author":"J Mohoney","year":"2023","unstructured":"Mohoney, J., et al.: High-throughput vector similarity search in knowledge graphs. Proc. ACM Manage. Data 1(2), 1\u201325 (2023)","journal-title":"Proc. ACM Manage. Data"},{"key":"34_CR19","unstructured":"Es, S., et al.: Ragas: automated evaluation of retrieval augmented generation. arXiv preprint arXiv:2309.15217 (2023)"},{"key":"34_CR20","doi-asserted-by":"crossref","unstructured":"Jin, Q., et al.: PubMedQA: a dataset for biomedical research question answering. arXiv preprint arXiv:1909.06146 (2019)","DOI":"10.18653\/v1\/D19-1259"},{"key":"34_CR21","unstructured":"Wikipedia. https:\/\/www.wikipedia.org\/"}],"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\/978-981-97-5678-0_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T16:36:59Z","timestamp":1722530219000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-5678-0_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819756773","9789819756780"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-5678-0_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 August 2024","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":"Tianjin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 August 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 August 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icic2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.ic-icc.cn\/2024\/index.htm","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}