{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T21:30:32Z","timestamp":1784237432589,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100006374","name":"Ministry of Industry and Information Technology of the People's Republic of China","doi-asserted-by":"publisher","award":["E3V0571114"],"award-info":[{"award-number":["E3V0571114"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,7,13]]},"DOI":"10.1145\/3726302.3729921","type":"proceedings-article","created":{"date-parts":[[2025,7,14]],"date-time":"2025-07-14T01:18:36Z","timestamp":1752455916000},"page":"1316-1326","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["CIRAG: Retrieval-Augmented Language Model with Collective Intelligence"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5228-7989","authenticated-orcid":false,"given":"Chenxu","family":"Cui","sequence":"first","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China, School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China, and State Key Laboratory of Cyberspace Security Defense, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4366-9121","authenticated-orcid":false,"given":"Haihui","family":"Fan","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and State Key Laboratory of Cyberspace Security Defense, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1835-1700","authenticated-orcid":false,"given":"Jinchao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and State Key Laboratory of Cyberspace Security Defense, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9570-767X","authenticated-orcid":false,"given":"Lin","family":"Shen","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China, School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China, and State Key Laboratory of Cyberspace Security Defense, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6709-0942","authenticated-orcid":false,"given":"Bo","family":"Li","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and State Key Laboratory of Cyberspace Security Defense, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8618-4992","authenticated-orcid":false,"given":"Weiping","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,7,13]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"The Twelfth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=hSyW5go0v8","author":"Asai Akari","year":"2024","unstructured":"Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi. 2024. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection. In The Twelfth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=hSyW5go0v8"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.623"},{"key":"e_1_3_2_1_3_1","unstructured":"Chi-Min Chan Chunpu Xu Ruibin Yuan Hongyin Luo Wei Xue Yike Guo and Jie Fu. 2024. RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation. arxiv:2404.00610 [cs.CL] https:\/\/arxiv.org\/abs\/2404.00610"},{"key":"e_1_3_2_1_4_1","article-title":"PaLM: scaling language modeling with pathways","volume":"24","author":"Chowdhery Aakanksha","year":"2024","unstructured":"Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, and et al., 2024. PaLM: scaling language modeling with pathways. J. Mach. Learn. Res., Vol. 24, 1, Article 240 (mar 2024), 113 pages.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1423"},{"key":"e_1_3_2_1_6_1","unstructured":"Aaron Grattafiori Abhimanyu Dubey Abhinav Jauhri and 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_7_1","volume-title":"Saku Sugawara, and Akiko Aizawa.","author":"Ho Xanh","year":"2020","unstructured":"Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, and Akiko Aizawa. 2020. Constructing a multi-hop qa dataset for comprehensive evaluation of reasoning steps. arXiv preprint arXiv:2011.01060 (2020)."},{"key":"e_1_3_2_1_8_1","unstructured":"Sebastian Hofst\u00e4tter Jiecao Chen Karthik Raman and Hamed Zamani. 2022. FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. arxiv:2209.14290 [cs.CL] https:\/\/arxiv.org\/abs\/2209.14290"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3571730"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.825"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.495"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.550"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.698"},{"key":"e_1_3_2_1_14_1","volume-title":"David Hall, Percy Liang, Christopher Potts, and Matei Zaharia.","author":"Khattab Omar","year":"2023","unstructured":"Omar Khattab, Keshav Santhanam, Xiang Lisa Li, David Hall, Percy Liang, Christopher Potts, and Matei Zaharia. 2023. Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP. arxiv:2212.14024 [cs.CL] https:\/\/arxiv.org\/abs\/2212.14024"},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the 36th International Conference on Neural Information Processing Systems","author":"Kojima Takeshi","year":"2024","unstructured":"Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2024. Large language models are zero-shot reasoners. In Proceedings of the 36th International Conference on Neural Information Processing Systems (New Orleans, LA, USA) (NIPS '22). Article 1613, 15 pages."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.485"},{"key":"e_1_3_2_1_17_1","first-page":"9459","volume-title":"Lin (Eds.)","volume":"33","author":"Lewis Patrick","unstructured":"Patrick Lewis, Ethan Perez, Aleksandra Piktus, and et al., 2020. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. In Advances in Neural Information Processing Systems, H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 9459-9474."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.855"},{"key":"e_1_3_2_1_19_1","volume-title":"Query Rewriting in Retrieval-Augmented Large Language Models. In The 2023 Conference on Empirical Methods in Natural Language Processing. https:\/\/openreview.net\/forum?id=gXq1cwkUZc","author":"Ma Xinbei","year":"2023","unstructured":"Xinbei Ma, Yeyun Gong, Pengcheng He, hai zhao, and Nan Duan. 2023. Query Rewriting in Retrieval-Augmented Large Language Models. In The 2023 Conference on Empirical Methods in Natural Language Processing. https:\/\/openreview.net\/forum?id=gXq1cwkUZc"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.546"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.eacl-main.213"},{"key":"e_1_3_2_1_22_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_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.1109"},{"key":"e_1_3_2_1_24_1","unstructured":"Fabio Petroni Patrick Lewis Aleksandra Piktus Tim Rockt\u00e4schel Yuxiang Wu Alexander H. Miller and Sebastian Riedel. 2020. How Context Affects Language Models' Factual Predictions. In Automated Knowledge Base Construction. https:\/\/openreview.net\/forum?id=025X0zPfn"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.378"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591712"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"e_1_3_2_1_28_1","unstructured":"Kaize Shi Xueyao Sun Qing Li and Guandong Xu. 2024. Compressing Long Context for Enhancing RAG with AMR-based Concept Distillation. arxiv:2405.03085 [cs.CL] https:\/\/arxiv.org\/abs\/2405.03085"},{"key":"e_1_3_2_1_29_1","unstructured":"Qwen Team. 2024. Qwen2.5: A Party of Foundation Models. https:\/\/qwenlm.github.io\/blog\/qwen2.5\/"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.557"},{"key":"e_1_3_2_1_31_1","volume-title":"RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation. CoRR","author":"Wang Shuting","year":"2024","unstructured":"Shuting Wang, Xin Yu, Mang Wang, Weipeng Chen, Yutao Zhu, and Zhicheng Dou. 2024b. RichRAG: Crafting Rich Responses for Multi-faceted Queries in Retrieval-Augmented Generation. CoRR, Vol. abs\/2406.12566 (2024)."},{"key":"e_1_3_2_1_32_1","volume-title":"Jing Liu, and Ji-Rong Wen.","author":"Wang Yuhao","year":"2024","unstructured":"Yuhao Wang, Ruiyang Ren, Junyi Li, Wayne Xin Zhao, Jing Liu, and Ji-Rong Wen. 2024a. REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering. arxiv:2402.17497 [cs.CL] https:\/\/arxiv.org\/abs\/2402.17497"},{"key":"e_1_3_2_1_33_1","volume-title":"Md Rizwan Parvez, and Graham Neubig","author":"Wang Zhiruo","year":"2023","unstructured":"Zhiruo Wang, Jun Araki, Zhengbao Jiang, Md Rizwan Parvez, and Graham Neubig. 2023. Learning to Filter Context for Retrieval-Augmented Generation. arxiv:2311.08377 [cs.CL] https:\/\/arxiv.org\/abs\/2311.08377"},{"key":"e_1_3_2_1_34_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_35_1","volume-title":"The Free Encyclopedia. https:\/\/en.wikipedia.org\/w\/index.php?title=The_Wisdom_of_Crowds&oldid=1255403153. [Online","author":"Wikipedia","year":"2024","unstructured":"Wikipedia contributors. 2024. The Wisdom of Crowds - Wikipedia, The Free Encyclopedia. https:\/\/en.wikipedia.org\/w\/index.php?title=The_Wisdom_of_Crowds&oldid=1255403153. [Online; accessed 25-December-2024]."},{"key":"e_1_3_2_1_36_1","unstructured":"Fangyuan Xu Weijia Shi and Eunsol Choi. 2024. RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation. In The Twelfth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=mlJLVigNHp"},{"key":"e_1_3_2_1_37_1","volume-title":"HotpotQA: A dataset for diverse, explainable multi-hop question answering. arXiv preprint arXiv:1809.09600","author":"Yang Zhilin","year":"2018","unstructured":"Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W Cohen, Ruslan Salakhutdinov, and Christopher D Manning. 2018. HotpotQA: A dataset for diverse, explainable multi-hop question answering. arXiv preprint arXiv:1809.09600 (2018)."},{"key":"e_1_3_2_1_38_1","volume-title":"ReAct: Synergizing Reasoning and Acting in Language Models. In The Eleventh International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=WE_vluYUL-X","author":"Yao Shunyu","year":"2023","unstructured":"Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik R Narasimhan, and Yuan Cao. 2023. ReAct: Synergizing Reasoning and Acting in Language Models. In The Eleventh International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=WE_vluYUL-X"},{"key":"e_1_3_2_1_39_1","unstructured":"Gal Yona Roee Aharoni and Mor Geva. 2024. Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words? arxiv:2405.16908 [cs.CL] https:\/\/arxiv.org\/abs\/2405.16908"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645481"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-naacl.79"}],"event":{"name":"SIGIR '25: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Padua Italy","acronym":"SIGIR '25","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3726302.3729921","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T18:34:32Z","timestamp":1755887672000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3726302.3729921"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,7,13]]},"references-count":41,"alternative-id":["10.1145\/3726302.3729921","10.1145\/3726302"],"URL":"https:\/\/doi.org\/10.1145\/3726302.3729921","relation":{},"subject":[],"published":{"date-parts":[[2025,7,13]]},"assertion":[{"value":"2025-07-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}