{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:29:51Z","timestamp":1766068191300,"version":"build-2065373602"},"publisher-location":"New York, NY, USA","reference-count":9,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,5,8]]},"DOI":"10.1145\/3701716.3715554","type":"proceedings-article","created":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T14:24:42Z","timestamp":1750688682000},"page":"1450-1454","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["RLG-RAG: Guiding the Knowledge Retrieval and Evaluation in Retrieval-Augmented Generation Framework by Reasoning Logic"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-3800-0818","authenticated-orcid":false,"given":"Kehan","family":"Xu","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7984-1082","authenticated-orcid":false,"given":"Kun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Pattern Recognition Center, Tencent WeChat AI, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3243-3515","authenticated-orcid":false,"given":"Wei","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yanshan University, Qinhuangdao, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9384-9455","authenticated-orcid":false,"given":"Jingyuan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6799-1756","authenticated-orcid":false,"given":"Yuanzhuo","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2025,5,23]]},"reference":[{"volume-title":"The Twelfth International Conference on Learning Representations.","author":"Asai Akari","key":"e_1_3_2_1_1_1","unstructured":"Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi. [n.,d.]. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_3_2_1_2_1","volume-title":"Language models are few-shot learners. arXiv preprint arXiv:2005.14165","author":"Brown Tom B","year":"2020","unstructured":"Tom B Brown. 2020. Language models are few-shot learners. arXiv preprint arXiv:2005.14165 (2020)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657834"},{"key":"e_1_3_2_1_4_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"},{"volume-title":"RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval. In The Twelfth International Conference on Learning Representations.","author":"Sarthi Parth","key":"e_1_3_2_1_5_1","unstructured":"Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie, and Christopher D Manning. [n.,d.]. RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.620"},{"key":"e_1_3_2_1_7_1","volume-title":"Think-then-Act: A Dual-Angle Evaluated Retrieval-Augmented Generation. arXiv preprint arXiv:2406.13050","author":"Shen Yige","year":"2024","unstructured":"Yige Shen, Hao Jiang, Hua Qu, and Jihong Zhao. 2024. Think-then-Act: A Dual-Angle Evaluated Retrieval-Augmented Generation. arXiv preprint arXiv:2406.13050 (2024)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.557"},{"key":"e_1_3_2_1_9_1","volume-title":"Recomp: Improving retrieval-augmented lms with compression and selective augmentation. arXiv preprint arXiv:2310.04408","author":"Xu Fangyuan","year":"2023","unstructured":"Fangyuan Xu, Weijia Shi, and Eunsol Choi. 2023. Recomp: Improving retrieval-augmented lms with compression and selective augmentation. arXiv preprint arXiv:2310.04408 (2023)."}],"event":{"name":"WWW '25: The ACM Web Conference 2025","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Sydney NSW Australia","acronym":"WWW '25"},"container-title":["Companion Proceedings of the ACM on Web Conference 2025"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3701716.3715554","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,7]],"date-time":"2025-10-07T18:29:28Z","timestamp":1759861768000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3701716.3715554"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,8]]},"references-count":9,"alternative-id":["10.1145\/3701716.3715554","10.1145\/3701716"],"URL":"https:\/\/doi.org\/10.1145\/3701716.3715554","relation":{},"subject":[],"published":{"date-parts":[[2025,5,8]]},"assertion":[{"value":"2025-05-23","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}