{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:08:01Z","timestamp":1755907681251,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T00:00:00Z","timestamp":1733616000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,12,8]]},"DOI":"10.1145\/3673791.3698407","type":"proceedings-article","created":{"date-parts":[[2024,12,8]],"date-time":"2024-12-08T06:24:16Z","timestamp":1733639056000},"page":"175-185","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["LeKUBE: A Knowledge Update BEnchmark for Legal Domain"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-5460-5279","authenticated-orcid":false,"given":"Changyue","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8718-9402","authenticated-orcid":false,"given":"Weihang","family":"Su","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-7986-3692","authenticated-orcid":false,"given":"Yiran","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Law, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5030-709X","authenticated-orcid":false,"given":"Qingyao","family":"Ai","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2539-8954","authenticated-orcid":false,"given":"Yueyue","family":"Wu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7561-1186","authenticated-orcid":false,"given":"Cheng","family":"Luo","sequence":"additional","affiliation":[{"name":"Quancheng Lab & MegaTech.AI, Jinan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0140-4512","authenticated-orcid":false,"given":"Yiqun","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3158-1920","authenticated-orcid":false,"given":"Min","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8762-8268","authenticated-orcid":false,"given":"Shaoping","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2024,12,8]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Longformer: The Long-Document Transformer. arxiv","author":"Beltagy Iz","year":"2020","unstructured":"Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020. Longformer: The Long-Document Transformer. arxiv: 2004.05150 [cs.CL]"},{"key":"e_1_3_2_1_2_1","volume-title":"THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank. arXiv preprint arXiv:2304.12650","author":"Chen Jia","year":"2023","unstructured":"Jia Chen, Haitao Li, Weihang Su, Qingyao Ai, and Yiqun Liu. 2023. THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank. arXiv preprint arXiv:2304.12650 (2023)."},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021","author":"Chen Wenhu","year":"2021","unstructured":"Wenhu Chen, Xinyi Wang, and William Yang Wang. 2021. A Dataset for Answering Time-Sensitive Questions. In Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, NeurIPS Datasets and Benchmarks 2021, December 2021, virtual, Joaquin Vanschoren and Sai-Kit Yeung (Eds.). https:\/\/datasets-benchmarks-proceedings.neurips.cc\/paper\/2021\/hash\/1f0e3dad99908345f7439f8ffabdffc4-Abstract-round2.html"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3502185"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1177\/001316446002000104"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657834"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.581"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/V1\/2022.FINDINGS-EMNLP.438"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.26"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657743"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.75"},{"key":"e_1_3_2_1_12_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_13_1","volume-title":"LoRA: Low-Rank Adaptation of Large Language Models. In The Tenth International Conference on Learning Representations, ICLR 2022","author":"Hu Edward J.","year":"2022","unstructured":"Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022. LoRA: Low-Rank Adaptation of Large Language Models. In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25--29, 2022. OpenReview.net. https:\/\/openreview.net\/forum?id=nZeVKeeFYf9"},{"key":"e_1_3_2_1_14_1","volume-title":"Lawyer llama technical report. arXiv preprint arXiv:2305.15062","author":"Huang Quzhe","year":"2023","unstructured":"Quzhe Huang, Mingxu Tao, Zhenwei An, Chen Zhang, Cong Jiang, Zhibin Chen, Zirui Wu, and Yansong Feng. 2023. Lawyer llama technical report. arXiv preprint arXiv:2305.15062 (2023)."},{"key":"e_1_3_2_1_15_1","volume-title":"Transformer-Patcher: One Mistake Worth One Neuron. In The Eleventh International Conference on Learning Representations, ICLR 2023","author":"Huang Zeyu","year":"2023","unstructured":"Zeyu Huang, Yikang Shen, Xiaofeng Zhang, Jie Zhou, Wenge Rong, and Zhang Xiong. 2023. Transformer-Patcher: One Mistake Worth One Neuron. In The Eleventh International Conference on Learning Representations, ICLR 2023, Kigali, Rwanda, May 1--5, 2023. OpenReview.net. https:\/\/openreview.net\/forum?id=4oYUGeGBPm"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/V1\/2023.EMNLP-MAIN.825"},{"key":"e_1_3_2_1_17_1","volume-title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020","author":"Lewis Patrick S. H.","year":"2020","unstructured":"Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich K\u00fcttler, Mike Lewis, Wen-tau Yih, Tim Rockt\u00e4schel, Sebastian Riedel, and Douwe Kiela. 2020. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6--12, 2020, virtual, Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin (Eds.). https:\/\/proceedings.neurips.cc\/paper\/2020\/hash\/6b493230205f780e1bc26945df7481e5-Abstract.html"},{"key":"e_1_3_2_1_18_1","volume-title":"Towards better web search performance: pre-training, fine-tuning and learning to rank. arXiv preprint arXiv:2303.04710","author":"Li Haitao","year":"2023","unstructured":"Haitao Li, Jia Chen, Weihang Su, Qingyao Ai, and Yiqun Liu. 2023. Towards better web search performance: pre-training, fine-tuning and learning to rank. arXiv preprint arXiv:2303.04710 (2023)."},{"key":"e_1_3_2_1_19_1","volume-title":"Incorporating structural knowledge into pre-trained language models for legal case retrieval. arXiv preprint arXiv:2305.06812","author":"Li Haitao","year":"2023","unstructured":"Haitao Li, Weihang Su, Changyue Wang, Yueyue Wu, Qingyao Ai, and Yiqun Liu. 2023. Thuir@ coliee 2023: Incorporating structural knowledge into pre-trained language models for legal case retrieval. arXiv preprint arXiv:2305.06812 (2023)."},{"key":"e_1_3_2_1_20_1","volume-title":"more parameters and legal knowledge for legal case entailment. arXiv preprint arXiv:2305.06817","author":"Li Haitao","year":"2023","unstructured":"Haitao Li, Changyue Wang, Weihang Su, Yueyue Wu, Qingyao Ai, and Yiqun Liu. 2023. THUIR@ COLIEE 2023: more parameters and legal knowledge for legal case entailment. arXiv preprint arXiv:2305.06817 (2023)."},{"key":"e_1_3_2_1_21_1","volume-title":"EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries. arxiv: 2402.11324 [cs.CL]","author":"Liu Jiateng","year":"2024","unstructured":"Jiateng Liu, Pengfei Yu, Yuji Zhang, Sha Li, Zixuan Zhang, and Heng Ji. 2024. EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries. arxiv: 2402.11324 [cs.CL]"},{"key":"e_1_3_2_1_22_1","unstructured":"Ilya Loshchilov and Frank Hutter. 2019. Decoupled Weight Decay Regularization. arxiv: 1711.05101 [cs.LG]"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/V1\/2023.EMNLP-MAIN.441"},{"key":"e_1_3_2_1_24_1","volume-title":"Locating and Editing Factual Associations in GPT. In Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022","author":"Meng Kevin","year":"2022","unstructured":"Kevin Meng, David Bau, Alex Andonian, and Yonatan Belinkov. 2022. Locating and Editing Factual Associations in GPT. In Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28--December 9, 2022, Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, and A. Oh (Eds.). http:\/\/papers.nips.cc\/paper_files\/paper\/2022\/hash\/6f1d43d5a82a37e89b0665b33bf3a182-Abstract-Conference.html"},{"key":"e_1_3_2_1_25_1","volume-title":"International Conference on Machine Learning, ICML 2022","volume":"15831","author":"Mitchell Eric","year":"2022","unstructured":"Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D. Manning, and Chelsea Finn. 2022. Memory-Based Model Editing at Scale. In International Conference on Machine Learning, ICML 2022, 17--23 July 2022, Baltimore, Maryland, USA (Proceedings of Machine Learning Research, Vol. 162), Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesv\u00e1ri, Gang Niu, and Sivan Sabato (Eds.). PMLR, 15817--15831. https:\/\/proceedings.mlr.press\/v162\/mitchell22a.html"},{"key":"e_1_3_2_1_26_1","unstructured":"OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad Ilge Akkaya Florencia Leoni Aleman Diogo Almeida Janko Altenschmidt Sam Altman Shyamal Anadkat Red Avila Igor Babuschkin"},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the first instructional conference on machine learning","volume":"242","author":"Juan","unstructured":"Juan Ramos et al. 2003. Using tf-idf to determine word relevance in document queries. In Proceedings of the first instructional conference on machine learning, Vol. 242. Citeseer, 29--48."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3406703"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1561\/1500000019"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-emnlp.320"},{"key":"e_1_3_2_1_32_1","volume-title":"Editable Neural Networks. In 8th International Conference on Learning Representations, ICLR 2020","author":"Sinitsin Anton","year":"2020","unstructured":"Anton Sinitsin, Vsevolod Plokhotnyuk, Dmitriy Pyrkin, Sergei Popov, and Artem Babenko. 2020. Editable Neural Networks. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26--30, 2020. OpenReview.net. https:\/\/openreview.net\/forum?id=HJedXaEtvS"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1609\/AAAI.V38I17.29869"},{"key":"e_1_3_2_1_34_1","volume-title":"Caseformer: Pre-training for legal case retrieval. arXiv preprint arXiv:2311.00333","author":"Su Weihang","year":"2023","unstructured":"Weihang Su, Qingyao Ai, Yueyue Wu, Yixiao Ma, Haitao Li, and Yiqun Liu. 2023. Caseformer: Pre-training for legal case retrieval. arXiv preprint arXiv:2311.00333 (2023)."},{"key":"e_1_3_2_1_35_1","unstructured":"WEIHANG SU QINGYAO AI YUEYUE WU ANZHE XIE CHANGYUE WANG YIXIAO MA HAITAO LI ZHIJING WU YIQUN LIU and MIN ZHANG. 2024. Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions. (2024)."},{"key":"e_1_3_2_1_36_1","volume-title":"STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals. ArXiv preprint","author":"Su Weihang","year":"2024","unstructured":"Weihang Su, Yiran Hu, Anzhe Xie, Qingyao Ai, Zibing Que, Ning Zheng, Yun Liu, Weixing Shen, and Yiqun Liu. 2024. STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals. ArXiv preprint, Vol. abs\/2406.15313 (2024). https:\/\/arxiv.org\/abs\/2406.15313"},{"key":"e_1_3_2_1_37_1","volume-title":"Thuir2 at ntcir-16 session search (ss) task. arXiv preprint arXiv:2307.00250","author":"Su Weihang","year":"2023","unstructured":"Weihang Su, Xiangsheng Li, Yiqun Liu, Min Zhang, and Shaoping Ma. 2023. Thuir2 at ntcir-16 session search (ss) task. arXiv preprint arXiv:2307.00250 (2023)."},{"key":"e_1_3_2_1_38_1","volume-title":"Mitigating Entity-Level Hallucination in Large Language Models. arXiv preprint arXiv:2407.09417","author":"Su Weihang","year":"2024","unstructured":"Weihang Su, Yichen Tang, Qingyao Ai, Changyue Wang, Zhijing Wu, and Yiqun Liu. 2024. Mitigating Entity-Level Hallucination in Large Language Models. arXiv preprint arXiv:2407.09417 (2024)."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.18653\/V1\/2024.ACL-LONG.702"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.18653\/V1\/2024.FINDINGS-ACL.854"},{"key":"e_1_3_2_1_41_1","unstructured":"Weihang Su Changyue Wang Anzhe Xie Qingyao Ai Yiran Hu and Yiqun Liu. 2024 e. LegalAID: A Large Language Model for the Chinese Legal Field. https:\/\/github.com\/oneal2000\/LegalAID."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.18653\/V1\/2024.FINDINGS-ACL.813"},{"key":"e_1_3_2_1_43_1","volume-title":"Easyedit: An easy-to-use knowledge editing framework for large language models. arXiv preprint arXiv:2308.07269","author":"Wang Peng","year":"2023","unstructured":"Peng Wang, Ningyu Zhang, Xin Xie, Yunzhi Yao, Bozhong Tian, Mengru Wang, Zekun Xi, Siyuan Cheng, Kangwei Liu, Guozhou Zheng, et al. 2023. Easyedit: An easy-to-use knowledge editing framework for large language models. arXiv preprint arXiv:2308.07269 (2023)."},{"key":"e_1_3_2_1_44_1","unstructured":"Song Wang Yaochen Zhu Haochen Liu Zaiyi Zheng Chen Chen et al. 2023. Knowledge editing for large language models: A survey. arXiv preprint arXiv:2310.16218 (2023)."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.06.003"},{"key":"e_1_3_2_1_46_1","unstructured":"Aiyuan Yang Bin Xiao Bingning Wang Borong Zhang Ce Bian Chao Yin Chenxu Lv Da Pan Dian Wang Dong Yan Fan Yang Fei Deng Feng Wang Feng Liu Guangwei Ai Guosheng Dong Haizhou Zhao Hang Xu Haoze Sun Hongda Zhang Hui Liu Jiaming Ji Jian Xie JunTao Dai Kun Fang Lei Su Liang Song Lifeng Liu Liyun Ru Luyao Ma Mang Wang Mickel Liu MingAn Lin Nuolan Nie Peidong Guo Ruiyang Sun Tao Zhang Tianpeng Li Tianyu Li Wei Cheng Weipeng Chen Xiangrong Zeng Xiaochuan Wang Xiaoxi Chen Xin Men Xin Yu Xuehai Pan Yanjun Shen Yiding Wang Yiyu Li Youxin Jiang Yuchen Gao Yupeng Zhang Zenan Zhou and Zhiying Wu. 2023. Baichuan 2: Open Large-scale Language Models. https:\/\/arxiv.org\/abs\/2309.10305"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.18653\/V1\/2023.EMNLP-MAIN.632"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637874"},{"key":"e_1_3_2_1_49_1","volume-title":"Statistical language models for information retrieval. Synthesis lectures on human language technologies","author":"Zhai ChengXiang","year":"2008","unstructured":"ChengXiang Zhai. 2008. Statistical language models for information retrieval. Synthesis lectures on human language technologies, Vol. 1, 1 (2008), 1--141."},{"key":"e_1_3_2_1_50_1","volume-title":"Retrieval-Augmented Generation for AI-Generated Content: A Survey. arXiv preprint arXiv:2402.19473","author":"Zhao Penghao","year":"2024","unstructured":"Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, and Bin Cui. 2024. Retrieval-Augmented Generation for AI-Generated Content: A Survey. arXiv preprint arXiv:2402.19473 (2024)."},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.emnlp-main.971"}],"event":{"name":"SIGIR-AP 2024: Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Tokyo Japan","acronym":"SIGIR-AP 2024"},"container-title":["Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3673791.3698407","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3673791.3698407","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T16:23:15Z","timestamp":1755879795000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3673791.3698407"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,8]]},"references-count":51,"alternative-id":["10.1145\/3673791.3698407","10.1145\/3673791"],"URL":"https:\/\/doi.org\/10.1145\/3673791.3698407","relation":{},"subject":[],"published":{"date-parts":[[2024,12,8]]},"assertion":[{"value":"2024-12-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}