{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T02:07:35Z","timestamp":1765505255007,"version":"3.48.0"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","funder":[{"name":"State Key Laboratory of Multimedia Information Processing Open Fund","award":["SKLMIP-KF-2025-07"],"award-info":[{"award-number":["SKLMIP-KF-2025-07"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,10]]},"DOI":"10.1145\/3746252.3760935","type":"proceedings-article","created":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T00:36:36Z","timestamp":1762562196000},"page":"4802-4806","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Context-Aware Fine-Grained Graph RAG for Query-Focused Summarization"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-3493-344X","authenticated-orcid":false,"given":"Yubin","family":"Hong","sequence":"first","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6189-9456","authenticated-orcid":false,"given":"ChaoFan","family":"Li","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3626-4889","authenticated-orcid":false,"given":"Jingyi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8559-2628","authenticated-orcid":false,"given":"Yingxia","family":"Shao","sequence":"additional","affiliation":[{"name":"Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,11,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.21608\/ijicis.2024.336135.1365"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2024.09.178"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-tutorials.6"},{"key":"e_1_3_2_1_4_1","volume-title":"International conference on machine learning. PMLR, 2206-2240","author":"Borgeaud Sebastian","year":"2022","unstructured":"Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George Bm Van Den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, et al., 2022. Improving language models by retrieving from trillions of tokens. In International conference on machine learning. PMLR, 2206-2240."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.3934\/aci.2024019"},{"key":"e_1_3_2_1_6_1","volume-title":"Relation Semantic Guidance and Entity Position Location for Relation Extraction. Data Science and Engineering","author":"Chen Guojun","year":"2024","unstructured":"Guojun Chen, Panfeng Chen, Hui Li, Xibin Wang, Xin Zhou, Aihua Yu, Xingzhi Deng, and Qi Wang. 2024. Relation Semantic Guidance and Entity Position Location for Relation Extraction. Data Science and Engineering (2024), 1-21."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.3115\/1654679.1654689"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00459"},{"key":"e_1_3_2_1_9_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_10_1","volume-title":"Retrieval-augmented generation for large language models: A survey. arXiv preprint arXiv:2312.10997","author":"Gao Yunfan","year":"2023","unstructured":"Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, and Haofen Wang. 2023. Retrieval-augmented generation for large language models: A survey. arXiv preprint arXiv:2312.10997 (2023)."},{"key":"e_1_3_2_1_11_1","volume-title":"LightRAG: Simple and Fast Retrieval-Augmented Generation. arXiv preprint arXiv:2410.05779","author":"Guo Zirui","year":"2024","unstructured":"Zirui Guo, Lianghao Xia, Yanhua Yu, Tu Ao, and Chao Huang. 2024. LightRAG: Simple and Fast Retrieval-Augmented Generation. arXiv preprint arXiv:2410.05779 (2024)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaaiss.v3i1.31191"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i16.29782"},{"key":"e_1_3_2_1_14_1","volume-title":"Akari Asai, Xinyan Yu, Dragomir Radev, Noah A Smith, Yejin Choi, Kentaro Inui, et al.","author":"Kasai Jungo","year":"2024","unstructured":"Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A Smith, Yejin Choi, Kentaro Inui, et al., 2024. REALTIME QA: what's the answer right now? Advances in Neural Information Processing Systems, Vol. 36 (2024)."},{"key":"e_1_3_2_1_15_1","first-page":"9410","volume-title":"KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models. In 2023 Findings of the Association for Computational Linguistics: EMNLP","author":"Kim Jiho","year":"2023","unstructured":"Jiho Kim, Yeonsu Kwon, Yohan Jo, and Edward Choi. 2023. KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models. In 2023 Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), 9410-9421."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/IWAIIP58158.2023.10462847"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-10888-y"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-47358-7_35"},{"key":"e_1_3_2_1_19_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_20_1","volume-title":"Towards A Generalist Code Embedding Model Based On Massive Data Synthesis. arXiv preprint arXiv:2505.12697","author":"Li Chaofan","year":"2025","unstructured":"Chaofan Li, Jianlyu Chen, Yingxia Shao, Defu Lian, and Zheng Liu. 2025a. Towards A Generalist Code Embedding Model Based On Massive Data Synthesis. arXiv preprint arXiv:2505.12697 (2025)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.191"},{"key":"e_1_3_2_1_22_1","volume-title":"Making Text Embedders Few-Shot Learners. In The Thirteenth International Conference on Learning Representations.","author":"Li Chaofan","year":"2025","unstructured":"Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Defu Lian, Yingxia Shao, and Zheng Liu. 2025b. Making Text Embedders Few-Shot Learners. In The Thirteenth International Conference on Learning Representations."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i17.29836"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i17.29836"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00778-024-00864-x"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626246.3654691"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/AIxSET62544.2024.00030"},{"key":"e_1_3_2_1_28_1","volume-title":"Memorag: Moving towards next-gen rag via memory-inspired knowledge discovery. arXiv preprint arXiv:2409.05591","author":"Qian Hongjin","year":"2024","unstructured":"Hongjin Qian, Peitian Zhang, Zheng Liu, Kelong Mao, and Zhicheng Dou. 2024. Memorag: Moving towards next-gen rag via memory-inspired knowledge discovery. arXiv preprint arXiv:2409.05591 (2024)."},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/s41019-024-00252-z"},{"key":"e_1_3_2_1_30_1","volume-title":"Ziya Cevahir, Alexander Jesser, and Md Nur Amin.","author":"Quddus Hafiz Abdul","year":"2024","unstructured":"Hafiz Abdul Quddus, Md Sanowar Hossain, Ziya Cevahir, Alexander Jesser, and Md Nur Amin. 2024. Enhanced VLSI Assertion Generation: Conforming to High-Level Specifications and Reducing LLM Hallucinations with RAG. In DVCon Europe 2024; Design and Verification Conference and Exhibition Europe. VDE, 57-62."},{"volume-title":"Graph databases: new opportunities for connected data. '' O'Reilly Media","author":"Robinson Ian","key":"e_1_3_2_1_31_1","unstructured":"Ian Robinson, Jim Webber, and Emil Eifrem. 2015. Graph databases: new opportunities for connected data. '' O'Reilly Media, Inc.''."},{"key":"e_1_3_2_1_32_1","volume-title":"Towards Scalable and Efficient Graph Structure Learning. In 2025 IEEE 41st International Conference on Data Engineering (ICDE). IEEE Computer Society, 1759-1772","author":"Shen Siqi","year":"2025","unstructured":"Siqi Shen, Wentao Zhang, Chengshuo Du, Chong Chen, Fangcheng Fu, Yingxia Shao, and Bin Cui. 2025. Towards Scalable and Efficient Graph Structure Learning. In 2025 IEEE 41st International Conference on Data Engineering (ICDE). IEEE Computer Society, 1759-1772."},{"key":"e_1_3_2_1_33_1","volume-title":"Multihop-rag: Benchmarking retrieval-augmented generation for multi-hop queries. arXiv preprint arXiv:2401.15391","author":"Tang Yixuan","year":"2024","unstructured":"Yixuan Tang and Yi Yang. 2024. Multihop-rag: Benchmarking retrieval-augmented generation for multi-hop queries. arXiv preprint arXiv:2401.15391 (2024)."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/SDS60720.2024.00036"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591936"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657760"},{"key":"e_1_3_2_1_37_1","volume-title":"Harnessing the power of llms in practice: A survey on chatgpt and beyond. ACM Transactions on Knowledge Discovery from Data","author":"Yang Jingfeng","year":"2024","unstructured":"Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, and Xia Hu. 2024a. Harnessing the power of llms in practice: A survey on chatgpt and beyond. ACM Transactions on Knowledge Discovery from Data, Vol. 18, 6 (2024), 1-32."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-017-1042-4"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.340"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.396"}],"event":{"name":"CIKM '25: The 34th ACM International Conference on Information and Knowledge Management","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Seoul Republic of Korea","acronym":"CIKM '25"},"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\/3746252.3760935","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T02:05:13Z","timestamp":1765505113000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746252.3760935"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,10]]},"references-count":40,"alternative-id":["10.1145\/3746252.3760935","10.1145\/3746252"],"URL":"https:\/\/doi.org\/10.1145\/3746252.3760935","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"}}]}}