{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T21:12:56Z","timestamp":1788556376727,"version":"build-2803163510"},"publisher-location":"New York, NY, USA","reference-count":37,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T00:00:00Z","timestamp":1786147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/legalcode"}],"funder":[{"name":"the National Natural Science Foundation of China","award":["62372362"],"award-info":[{"award-number":["62372362"]}]},{"name":"the National Natural Science Foundation of China","award":["62272372"],"award-info":[{"award-number":["62272372"]}]},{"name":"the National Natural Science Foundation of China","award":["62272379"],"award-info":[{"award-number":["62272379"]}]},{"name":"the National Natural Science Foundation of China","award":["62502372"],"award-info":[{"award-number":["62502372"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,8,9]]},"DOI":"10.1145\/3770855.3818043","type":"proceedings-article","created":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T01:08:33Z","timestamp":1786064913000},"page":"6397-6408","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["MCoRe: Multi-Entry Complementary Retrieval with Reflection-Guided Iteration for Multi-Hop QA"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0935-0715","authenticated-orcid":false,"given":"Juxiang","family":"Zeng","sequence":"first","affiliation":[{"name":"Xi'an Jiaotong University, Xi'an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8889-3289","authenticated-orcid":false,"given":"Zhuohui","family":"Gao","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, Xi'an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2299-3598","authenticated-orcid":false,"given":"Zhe","family":"Hou","sequence":"additional","affiliation":[{"name":"China Mobile System Integration Co., LTD, Xi\u2019an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1434-837X","authenticated-orcid":false,"given":"Pinghui","family":"Wang","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, Xi'an, Shannxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4082-6777","authenticated-orcid":false,"given":"Guangmingzi","family":"Yang","sequence":"additional","affiliation":[{"name":"China Mobile System Integration Co., LTD, Xi'an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9577-5082","authenticated-orcid":false,"given":"Zehua","family":"Lei","sequence":"additional","affiliation":[{"name":"China Mobile System Integration Co., LTD, xian, shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4173-6412","authenticated-orcid":false,"given":"Tao","family":"Duan","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, Xi'an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3911-4260","authenticated-orcid":false,"given":"Jing","family":"Tao","sequence":"additional","affiliation":[{"name":"Xi'an Jiaotong University, Xi'an, Shaanxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,8,8]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"International Conference on Learning Representations.","author":"Asai Akari","year":"2024","unstructured":"Akari Asai, Zeqiu Wu, Yizhong Wang, Avi Sil, and Hannaneh Hajishirzi. 2024. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_2_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_2_3_1","volume-title":"Pathrag: Pruning graph-based retrieval augmented generation with relational paths. arXiv preprint arXiv:2502.14902","author":"Chen Boyu","year":"2025","unstructured":"Boyu Chen, Zirui Guo, Zidan Yang, Yuluo Chen, Junze Chen, Zhenghao Liu, Chuan Shi, and Cheng Yang. 2025. Pathrag: Pruning graph-based retrieval augmented generation with relational paths. arXiv preprint arXiv:2502.14902 (2025)."},{"key":"e_1_3_2_2_4_1","volume-title":"Walking down the memory maze: Beyond context limit through interactive reading. arXiv preprint arXiv:2310.05029","author":"Chen Howard","year":"2023","unstructured":"Howard Chen, Ramakanth Pasunuru, Jason Weston, and Asli Celikyilmaz. 2023. Walking down the memory maze: Beyond context limit through interactive reading. arXiv preprint arXiv:2310.05029 (2023)."},{"key":"e_1_3_2_2_5_1","volume-title":"Robert Osazuwa Ness, and Jonathan Larson","author":"Edge Darren","year":"2024","unstructured":"Darren Edge, Ha Trinh, Newman Cheng, Joshua Bradley, Alex Chao, Apurva Mody, Steven Truitt, Dasha Metropolitansky, Robert Osazuwa Ness, 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_2_6_1","volume-title":"Minirag: Towards extremely simple retrieval-augmented generation. arXiv preprint arXiv:2501.06713","author":"Fan Tianyu","year":"2025","unstructured":"Tianyu Fan, Jingyuan Wang, Xubin Ren, and Chao Huang. 2025. Minirag: Towards extremely simple retrieval-augmented generation. arXiv preprint arXiv:2501.06713 (2025)."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.99"},{"key":"e_1_3_2_2_8_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_2_9_1","volume-title":"International conference on machine learning. PMLR, 3929-3938","author":"Guu Kelvin","year":"2020","unstructured":"Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Mingwei Chang. 2020. Retrieval augmented language model pre-training. In International conference on machine learning. PMLR, 3929-3938."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.580"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.1212303"},{"key":"e_1_3_2_2_12_1","volume-title":"ICLR 2021-9th International Conference on Learning Representations.","author":"Izacard Gautier","year":"2021","unstructured":"Gautier Izacard and Edouard Grave. 2021. Distilling Knowledge from Reader to Retriever for Question Answering. In ICLR 2021-9th International Conference on Learning Representations."},{"key":"e_1_3_2_2_13_1","first-page":"1","article-title":"Atlas: Few-shot learning with retrieval augmented language models","volume":"24","author":"Izacard Gautier","year":"2023","unstructured":"Gautier Izacard, Patrick Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, and Edouard Grave. 2023. Atlas: Few-shot learning with retrieval augmented language models. Journal of Machine Learning Research, Vol. 24, 251 (2023), 1-43.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.495"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.52202\/079017-1902"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.550"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.eacl-short.34"},{"key":"e_1_3_2_2_18_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. In Advances in Neural Information Processing Systems, Vol. 33. 9459-9474.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_19_1","unstructured":"Xun Liang Simin Niu Sensen Zhang Shichao Song Hanyu Wang Jiawei Yang Feiyu Xiong Bo Tang Chenyang Xi et al. 2024. Empowering large language models to set up a knowledge retrieval indexer via self-learning. arXiv preprint arXiv:2405.16933 (2024)."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-acl.97"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00638"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.findings-acl.856"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1613"},{"key":"e_1_3_2_2_24_1","volume-title":"Wei Ni, and Wenjie Zhang.","author":"Ni Tengjun","year":"2025","unstructured":"Tengjun Ni, Xin Yuan, Shenghong Li, Kai Wu, Ren Ping Liu, Wei Ni, and Wenjie Zhang. 2025. StepChain GraphRAG: Reasoning Over Knowledge Graphs for Multi-Hop Question Answering. arXiv preprint arXiv:2510.02827 (2025)."},{"key":"e_1_3_2_2_25_1","volume-title":"Passage Re-ranking with BERT. arXiv preprint arXiv:1901.04085","author":"Nogueira Rodrigo","year":"2019","unstructured":"Rodrigo Nogueira and Kyunghyun Cho. 2019. Passage Re-ranking with BERT. arXiv preprint arXiv:1901.04085 (2019)."},{"key":"e_1_3_2_2_26_1","volume-title":"RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step Retrieval. arXiv preprint arXiv:2506.08625","author":"Oh Minhae","year":"2025","unstructured":"Minhae Oh, Jeonghye Kim, Nakyung Lee, Donggeon Seo, Taeuk Kim, and Jungwoo Lee. 2025. RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step Retrieval. arXiv preprint arXiv:2506.08625 (2025)."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"e_1_3_2_2_28_1","unstructured":"Stephen Robertson and Hugo Zaragoza. 2009. The Probabilistic Relevance Framework. (2009)."},{"key":"e_1_3_2_2_29_1","volume-title":"The Twelfth International Conference on Learning Representations.","author":"Sarthi Parth","year":"2024","unstructured":"Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie, and Christopher D Manning. 2024. Raptor: Recursive abstractive processing for tree-organized retrieval. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_3_2_2_30_1","volume-title":"Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning. In The Thirty-ninth Annual Conference on Neural Information Processing Systems.","author":"Shi Yaorui","year":"2025","unstructured":"Yaorui Shi, Sihang Li, Chang Wu, Zhiyuan Liu, Junfeng Fang, Hengxing Cai, An Zhang, and Xiang Wang. 2025. Search and Refine During Think: Facilitating Knowledge Refinement for Improved Retrieval-Augmented Reasoning. In The Thirty-ninth Annual Conference on Neural Information Processing Systems."},{"key":"e_1_3_2_2_31_1","first-page":"16857","article-title":"Mpnet: Masked and permuted pre-training for language understanding","volume":"33","author":"Song Kaitao","year":"2020","unstructured":"Kaitao Song, Xu Tan, Tao Qin, Jianfeng Lu, and Tie-Yan Liu. 2020. Mpnet: Masked and permuted pre-training for language understanding. In Advances in Neural Information Processing Systems, Vol. 33. 16857-16867.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1108\/eb026526"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.26615\/978-954-452-102-8-014"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00475"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657878"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1259"},{"key":"e_1_3_2_2_37_1","volume-title":"SiReRAG: Indexing Similar and Related Information for Multihop Reasoning. In The Thirteenth International Conference on Learning Representations.","author":"Zhang Nan","year":"2025","unstructured":"Nan Zhang, Prafulla Kumar Choubey, Alexander Fabbri, Gabriel Bernadett-Shapiro, Rui Zhang, Prasenjit Mitra, Caiming Xiong, and Chien-Sheng Wu. 2025. SiReRAG: Indexing Similar and Related Information for Multihop Reasoning. In The Thirteenth International Conference on Learning Representations."}],"event":{"name":"KDD '26: The 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Jeju Island Republic of Korea","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3770855.3818043","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T20:24:37Z","timestamp":1788553477000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3770855.3818043"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,8]]},"references-count":37,"alternative-id":["10.1145\/3770855.3818043","10.1145\/3770855"],"URL":"https:\/\/doi.org\/10.1145\/3770855.3818043","relation":{},"subject":[],"published":{"date-parts":[[2026,8,8]]},"assertion":[{"value":"2026-08-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}