{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T09:10:01Z","timestamp":1768641001118,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","funder":[{"name":"JST ACT-X","award":["JPMJAX24CU"],"award-info":[{"award-number":["JPMJAX24CU"]}]},{"name":"JSPS KAKENHI","award":["24K20832"],"award-info":[{"award-number":["24K20832"]}]},{"name":"NVIDIA Academic Grant Program and Google Cloud (Gemma 3 Academic Program)"},{"name":"HPCI System Research Project, Research Institute for Information Technology, Kyushu University","award":["hp250092"],"award-info":[{"award-number":["hp250092"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,10]]},"DOI":"10.1145\/3746252.3761459","type":"proceedings-article","created":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T23:55:33Z","timestamp":1762559733000},"page":"6757-6761","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2575-4699","authenticated-orcid":false,"given":"Xinjie","family":"Zhao","sequence":"first","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4924-3903","authenticated-orcid":false,"given":"Moritz","family":"Blum","sequence":"additional","affiliation":[{"name":"University of Bielefeld, Bielefeld, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9134-062X","authenticated-orcid":false,"given":"Fan","family":"Gao","sequence":"additional","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1359-6998","authenticated-orcid":false,"given":"Yingjian","family":"Chen","sequence":"additional","affiliation":[{"name":"The University of Tokyo, Tokyo, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-6298-5711","authenticated-orcid":false,"given":"Boming","family":"Yang","sequence":"additional","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2128-5557","authenticated-orcid":false,"given":"Luis","family":"Marquez-Carpintero","sequence":"additional","affiliation":[{"name":"University of Alicante, Alicante, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2517-4715","authenticated-orcid":false,"given":"M\u00f3nica","family":"Pina-Navarro","sequence":"additional","affiliation":[{"name":"The University of Alicante, Alicante, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-2050-2776","authenticated-orcid":false,"given":"Yanran","family":"Fu","sequence":"additional","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4597-4039","authenticated-orcid":false,"given":"So","family":"Morikawa","sequence":"additional","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1321-2622","authenticated-orcid":false,"given":"Yusuke","family":"Iwasawa","sequence":"additional","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2106-8907","authenticated-orcid":false,"given":"Yutaka","family":"Matsuo","sequence":"additional","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7200-9632","authenticated-orcid":false,"given":"Chanjun","family":"Park","sequence":"additional","affiliation":[{"name":"Soongsil University, Soongsil, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1851-5390","authenticated-orcid":false,"given":"Irene","family":"Li","sequence":"additional","affiliation":[{"name":"The University of Tokyo, Tokyo, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,11,10]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"David Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Halevy, et al.","author":"Augenstein Isabelle","year":"2024","unstructured":"Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Halevy, et al., 2024. Factuality challenges in the era of large language models and opportunities for fact-checking. Nature Machine Intelligence (2024), 1-12."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531841"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2017.08.002"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1423"},{"key":"e_1_3_2_1_5_1","unstructured":"Aaron Grattafiori et al. 2024. The Llama 3 Herd of Models. arXiv:2407.21783 [cs.AI] https:\/\/arxiv.org\/abs\/2407.21783"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1038\/d41586-023-03507-3"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3190657"},{"key":"e_1_3_2_1_8_1","unstructured":"Yao Fu Hao Peng Ashish Sabharwal Peter Clark and Tushar Khot. 2023. Complexity-Based Prompting for Multi-Step Reasoning. arXiv:2210.00720 [cs.CL] https:\/\/arxiv.org\/abs\/2210.00720"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.321"},{"key":"e_1_3_2_1_10_1","volume-title":"A survey on knowledge graphs: Representation, acquisition, and applications","author":"Ji Shaoxiong","year":"2021","unstructured":"Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, and S Yu Philip. 2021. A survey on knowledge graphs: Representation, acquisition, and applications. IEEE transactions on neural networks and learning systems, Vol. 33, 2 (2021), 494-514."},{"key":"e_1_3_2_1_11_1","volume-title":"Taylor Xin Yi Lim, Hairil Rizal Abdullah, Daniel Shu Wei Ting, and Nan Liu.","author":"Ke Yu He","year":"2024","unstructured":"Yu He Ke, Rui Yang, Sui An Lie, Taylor Xin Yi Lim, Hairil Rizal Abdullah, Daniel Shu Wei Ting, and Nan Liu. 2024. Enhancing diagnostic accuracy through multi-agent conversations: Using large language models to mitigate cognitive bias. arXiv preprint arXiv:2401.14589 (2024)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00276"},{"key":"e_1_3_2_1_13_1","unstructured":"Irene Li and Boming Yang. 2023. NNKGC: Improving Knowledge Graph Completion with Node Neighborhoods. In Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2023) co-located with the 21th International Semantic Web Conference (ISWC 2023) Athens November 6-10 2023 (CEUR Workshop Proceedings Vol. 3559) Mehwish Alam and Michael Cochez (Eds.). CEUR-WS.org. https:\/\/ceur-ws.org\/Vol-3559\/paper-6.pdf"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.48"},{"key":"e_1_3_2_1_15_1","first-page":"141","volume-title":"Proceedings of the southern association for information systems conference","volume":"2324","author":"Miller Justin J","year":"2013","unstructured":"Justin J Miller. 2013. Graph database applications and concepts with Neo4j. In Proceedings of the southern association for information systems conference, Atlanta, GA, USA, Vol. 2324. 141-147."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1105"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2483592"},{"key":"e_1_3_2_1_18_1","unstructured":"OpenAI. 2024. GPT-4 Technical Report. arXiv:2303.08774 [cs.CL] https:\/\/arxiv.org\/abs\/2303.08774"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1561\/1900000078"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.3233\/SW-160247"},{"key":"e_1_3_2_1_21_1","volume-title":"ESWC 2023 Demo\/Industry Track. https:\/\/github.com\/sib-swiss\/sparql-llm Demo paper.","author":"Sima A.-C.","year":"2023","unstructured":"A.-C. Sima, T. M. de Farias, J. Frey, et al., 2023. LLM-based SPARQL Query Generation from Natural Language over Federated Knowledge Graphs. In ESWC 2023 Demo\/Industry Track. https:\/\/github.com\/sib-swiss\/sparql-llm Demo paper."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.531"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/SDS60720.2024.00036"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.repl4nlp-1.26"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/IHMSC49165.2020.00013"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386252"},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the 36th International Conference on Neural Information Processing Systems","author":"Wei Jason","year":"2024","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou. 2024. Chain-of-thought prompting elicits reasoning in large language models. In Proceedings of the 36th International Conference on Neural Information Processing Systems (New Orleans, LA, USA) (NIPS '22). Curran Associates Inc., Red Hook, NY, USA, Article 1800, 14 pages."},{"key":"e_1_3_2_1_28_1","unstructured":"Rongwu Xu Zehan Qi Zhijiang Guo Cunxiang Wang Hongru Wang Yue Zhang and Wei Xu. 2024. Knowledge Conflicts for LLMs: A Survey. arXiv:2403.08319 [cs.CL] https:\/\/arxiv.org\/abs\/2403.08319"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.bionlp-1.13"},{"key":"e_1_3_2_1_30_1","volume-title":"Daniel Shu Wei Ting, and Nan Liu.","author":"Yang Rui","year":"2024","unstructured":"Rui Yang, Yilin Ning, Emilia Keppo, Mingxuan Liu, Chuan Hong, Danielle S Bitterman, Jasmine Chiat Ling Ong, Daniel Shu Wei Ting, and Nan Liu. 2024b. Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine. arXiv preprint arXiv:2406.12449 (2024)."},{"key":"e_1_3_2_1_31_1","volume-title":"Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education. NLP4KGC Workshop, WWW","author":"Yang Rui","year":"2025","unstructured":"Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lecue, Jinghui Lu, and Irene Li. 2025. Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education. NLP4KGC Workshop, WWW (2025)."},{"key":"e_1_3_2_1_32_1","volume-title":"Tiarnan DL Keenan, et al","author":"Yang Rui","year":"2023","unstructured":"Rui Yang, Qingcheng Zeng, Keen You, Yujie Qiao, Lucas Huang, Chia-Chun Hsieh, Benjamin Rosand, Jeremy Goldwasser, Amisha D Dave, Tiarnan DL Keenan, et al., 2023. Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation. arXiv e-prints (2023), arXiv-2311."},{"key":"e_1_3_2_1_33_1","unstructured":"Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan and Yuan Cao. 2023. ReAct: Synergizing Reasoning and Acting in Language Models. arXiv:2210.03629 [cs.CL] https:\/\/arxiv.org\/abs\/2210.03629"},{"key":"e_1_3_2_1_34_1","unstructured":"Yuchen Zhuang Yue Yu Kuan Wang Haotian Sun and Chao Zhang. 2023. ToolQA: A Dataset for LLM Question Answering with External Tools. arXiv:2306.13304 [cs.CL] https:\/\/arxiv.org\/abs\/2306.13304"}],"event":{"name":"CIKM '25: The 34th ACM International Conference on Information and Knowledge Management","location":"Seoul Republic of Korea","acronym":"CIKM '25","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the 34th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746252.3761459","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T00:00:00Z","timestamp":1765497600000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746252.3761459"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,10]]},"references-count":34,"alternative-id":["10.1145\/3746252.3761459","10.1145\/3746252"],"URL":"https:\/\/doi.org\/10.1145\/3746252.3761459","relation":{},"subject":[],"published":{"date-parts":[[2025,11,10]]},"assertion":[{"value":"2025-11-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}