{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T04:07:44Z","timestamp":1779422864310,"version":"3.53.1"},"publisher-location":"New York, NY, USA","reference-count":19,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T00:00:00Z","timestamp":1779753600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,5,26]]},"DOI":"10.1145\/3786335.3813201","type":"proceedings-article","created":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T03:16:22Z","timestamp":1779419782000},"page":"1156-1164","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Scaling Expert Feedback with Reflective Edit Propagation in Compositional Knowledge Bases"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0511-136X","authenticated-orcid":false,"given":"Jiajing","family":"Guo","sequence":"first","affiliation":[{"name":"Bosch Research North America, Sunnyvale, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-2899-2832","authenticated-orcid":false,"given":"Xueming","family":"Li","sequence":"additional","affiliation":[{"name":"Robert Bosch GmbH, Gerlingen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2424-0186","authenticated-orcid":false,"given":"Jorge H Piazentin","family":"Ono","sequence":"additional","affiliation":[{"name":"Bosch Research North America, Sunnyvale, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5376-5803","authenticated-orcid":false,"given":"Wenbin","family":"He","sequence":"additional","affiliation":[{"name":"Bosch Research North America, Sunnyvale, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1813-8844","authenticated-orcid":false,"given":"Liu","family":"Ren","sequence":"additional","affiliation":[{"name":"Bosch Research North America, Sunnyvale, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,5,26]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","unstructured":"Sri\u00a0Rosa Anjelia Dana\u00a0Indra Sensuse and Sofian Lusa. 2025. AI agents for organizational knowledge retrieval and sharing: A Systematic Literature Review. International Journal of Advances in Data and Information Systems 6 3 (23\u00a0Dec. 2025) 824\u2013839. 10.59395\/ijadis.v6i3.1462","DOI":"10.59395\/ijadis.v6i3.1462"},{"key":"e_1_3_3_2_3_2","unstructured":"Tyler Bikaun Michael Stewart and Wei Liu. 2024. CleanGraph: Human-in-the-loop knowledge graph refinement and completion. arXiv [cs.AI] (6\u00a0May 2024). arxiv:https:\/\/arXiv.org\/abs\/2405.03932\u00a0[cs.AI]"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","unstructured":"Zana Bu\u00e7inca Maja\u00a0Barbara Malaya and Krzysztof\u00a0Z Gajos. 2021. To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making. Proceedings of the ACM on Human-Computer Interaction 5 CSCW1 (22\u00a0April 2021) 1\u201321. 10.1145\/34492873449287\"\/>","DOI":"10.1145\/3449287"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","unstructured":"Roi Cohen Eden Biran Ori Yoran Amir Globerson and Mor Geva. 2024. Evaluating the ripple effects of knowledge editing in language models. Transactions of the Association for Computational Linguistics 12 (9\u00a0April 2024) 283\u2013298. 10.1162\/tacl_a_00644","DOI":"10.1162\/tacl_a_00644"},{"key":"e_1_3_3_2_6_2","unstructured":"Darren Edge Ha Trinh Newman Cheng Joshua Bradley Alex Chao Apurva Mody Steven Truitt Dasha Metropolitansky Robert\u00a0Osazuwa Ness and Jonathan Larson. 2024. From local to global: A graph RAG approach to query-focused summarization. arXiv [cs.CL] (24\u00a0April 2024). arxiv:https:\/\/arXiv.org\/abs\/2404.16130\u00a0[cs.CL]"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","unstructured":"Huan-Ang Gao Jiayi Geng Wenyue Hua Mengkang Hu Xinzhe Juan Hongzhang Liu Shilong Liu Jiahao Qiu Xuan Qi Yiran Wu Hongru Wang Han Xiao Yuhang Zhou Shaokun Zhang Jiayi Zhang Jinyu Xiang Yixiong Fang Qiwen Zhao Dongrui Liu Qihan Ren Cheng Qian Zhenhailong Wang Minda Hu Huazheng Wang Qingyun Wu Heng Ji and Mengdi Wang. 2026. A survey of self-evolving agents: What when how and where to evolve on the path to Artificial Super Intelligence. arXiv [cs.AI] (16\u00a0Jan. 2026). arxiv:https:\/\/arXiv.org\/abs\/2507.21046\u00a0[cs.AI] 10.48550\/arXiv.2507.21046","DOI":"10.48550\/arXiv.2507.21046"},{"key":"e_1_3_3_2_8_2","unstructured":"Yunfan Gao Yun Xiong Xinyu Gao Kangxiang Jia Jinliu Pan Yuxi Bi Yi Dai Jiawei Sun Meng Wang and Haofen Wang. 2023. Retrieval-Augmented Generation for large Language Models: A survey. arXiv [cs.CL] (18\u00a0Dec. 2023). arxiv:https:\/\/arXiv.org\/abs\/2312.10997\u00a0[cs.CL]"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","unstructured":"Yuyang Hu Shichun Liu Yanwei Yue Guibin Zhang Boyang Liu Fangyi Zhu Jiahang Lin Honglin Guo Shihan Dou Zhiheng Xi Senjie Jin Jiejun Tan Yanbin Yin Jiongnan Liu Zeyu Zhang Zhongxiang Sun Yutao Zhu Hao Sun Boci Peng Zhenrong Cheng Xuanbo Fan Jiaxin Guo Xinlei Yu Zhenhong Zhou Zewen Hu Jiahao Huo Junhao Wang Yuwei Niu Yu Wang Zhenfei Yin Xiaobin Hu Yue Liao Qiankun Li Kun Wang Wangchunshu Zhou Yixin Liu Dawei Cheng Qi Zhang Tao Gui Shirui Pan Yan Zhang Philip Torr Zhicheng Dou Ji-Rong Wen Xuanjing Huang Yu-Gang Jiang and Shuicheng Yan. 2026. Memory in the age of AI agents. arXiv [cs.CL] (13\u00a0Jan. 2026). arxiv:https:\/\/arXiv.org\/abs\/2512.13564\u00a0[cs.CL] 10.48550\/arXiv.2512.13564","DOI":"10.48550\/arXiv.2512.13564"},{"key":"e_1_3_3_2_10_2","unstructured":"National Library of Medicine. [n. d.]. RxTerms. https:\/\/lhncbc.nlm.nih.gov\/MOR\/RxTerms\/. Accessed: 2026-3-13."},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","unstructured":"Charles Packer Sarah Wooders Kevin Lin Vivian Fang Shishir\u00a0G Patil Ion Stoica and Joseph\u00a0E Gonzalez. 2023. MemGPT: Towards LLMs as operating systems. arXiv [cs.AI] (12\u00a0Oct. 2023). arxiv:https:\/\/arXiv.org\/abs\/2310.08560\u00a0[cs.AI] 10.48550\/arXiv.2310.08560","DOI":"10.48550\/arXiv.2310.08560"},{"key":"e_1_3_3_2_12_2","unstructured":"Joon\u00a0Sung Park Joseph\u00a0C O\u2019Brien Carrie\u00a0J Cai Meredith\u00a0Ringel Morris Percy Liang and Michael\u00a0S Bernstein. 2023. Generative Agents: Interactive Simulacra of Human Behavior. arXiv [cs.HC] (7\u00a0April 2023). arxiv:https:\/\/arXiv.org\/abs\/2304.03442\u00a0[cs.HC]"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"publisher","unstructured":"Ben Shneiderman. 2020. Human-Centered Artificial Intelligence: Reliable Safe & Trustworthy. International Journal of Human\u2013Computer Interaction 36 6 (2\u00a0April 2020) 495\u2013504. arXiv:https:\/\/arXiv.org\/abs\/2002.0408710.1080\/10447318.2020.1741118","DOI":"10.1080\/10447318.2020.1741118"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3708359.3712091"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","unstructured":"Stefani Tsaneva Danilo Dess\u00ec Francesco Osborne and Marta Sabou. 2025. Knowledge graph validation by integrating LLMs and human-in-the-loop. Information Processing & Management 62 5 (Sept. 2025) 104145. 10.1016\/j.ipm.2025.104145","DOI":"10.1016\/j.ipm.2025.104145"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","unstructured":"Shih-Ying Yeh Yueh-Feng Ku Ko-Wei Huang and Buu-Khang Tu. 2026. KohakuRAG: A simple RAG framework with hierarchical document indexing. arXiv [cs.CL] (8\u00a0March 2026). arxiv:https:\/\/arXiv.org\/abs\/2603.07612\u00a0[cs.CL] 10.48550\/arXiv.2603.07612","DOI":"10.48550\/arXiv.2603.07612"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","unstructured":"Rui Yu Tianyi Wang Ruixia Liu and Yinglong Wang. 2026. SF-RAG: Structure-fidelity retrieval-augmented generation for academic question answering. arXiv [cs.IR] (18\u00a0March 2026). arxiv:https:\/\/arXiv.org\/abs\/2602.13647\u00a0[cs.IR] 10.48550\/arXiv.2602.13647","DOI":"10.48550\/arXiv.2602.13647"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"publisher","unstructured":"Andrew Zhao Daniel Huang Quentin Xu Matthieu Lin Yong-Jin Liu and Gao Huang. 2024. ExpeL: LLM agents are experiential learners. Proceedings of the AAAI Conference on Artificial Intelligence 38 17 (24\u00a0March 2024) 19632\u201319642. 10.1609\/aaai.v38i17.29936","DOI":"10.1609\/aaai.v38i17.29936"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"crossref","unstructured":"Zihao Zhao Yuchen Yang Yijiang Li and Yinzhi Cao. 2024. RIPPLECOT: Amplifying ripple effect of knowledge editing in language models via chain-of-thought in-context learning. arXiv [cs.CL] (3\u00a0Oct. 2024). arxiv:https:\/\/arXiv.org\/abs\/2410.03122\u00a0[cs.CL]","DOI":"10.18653\/v1\/2024.findings-emnlp.368"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.naacl-long.449"}],"event":{"name":"CAIS '26: ACM Conference on AI and Agentic Systems","location":"San Jose CA USA","acronym":"CAIS '26"},"container-title":["Proceedings of the ACM Conference on AI and Agentic Systems"],"original-title":[],"deposited":{"date-parts":[[2026,5,22]],"date-time":"2026-05-22T03:26:33Z","timestamp":1779420393000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3786335.3813201"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5,26]]},"references-count":19,"alternative-id":["10.1145\/3786335.3813201","10.1145\/3786335"],"URL":"https:\/\/doi.org\/10.1145\/3786335.3813201","relation":{},"subject":[],"published":{"date-parts":[[2026,5,26]]},"assertion":[{"value":"2026-05-26","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}