{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T01:21:23Z","timestamp":1765502483427,"version":"3.48.0"},"publisher-location":"New York, NY, USA","reference-count":75,"publisher":"ACM","funder":[{"name":"NSFC","award":["62202164"],"award-info":[{"award-number":["62202164"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,10]]},"DOI":"10.1145\/3746252.3761303","type":"proceedings-article","created":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T01:03:42Z","timestamp":1762563822000},"page":"4242-4252","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Hyperbolic Prompt Learning for Incremental Event Detection with LLMs"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-9954-1450","authenticated-orcid":false,"given":"Xiujin","family":"Zhang","sequence":"first","affiliation":[{"name":"North China Electric Power University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-8253-4843","authenticated-orcid":false,"given":"Wenxin","family":"Jin","sequence":"additional","affiliation":[{"name":"North China Electric Power University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-0452-1230","authenticated-orcid":false,"given":"Haotian","family":"Hong","sequence":"additional","affiliation":[{"name":"North China Electric Power University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0663-332X","authenticated-orcid":false,"given":"Pengfei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Anhui University of Science and Technology, Huaian, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2625-0935","authenticated-orcid":false,"given":"Jiting","family":"Li","sequence":"additional","affiliation":[{"name":"Academy of Military Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1461-6004","authenticated-orcid":false,"given":"Kongjing","family":"Gu","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0458-5977","authenticated-orcid":false,"given":"Hao","family":"Peng","sequence":"additional","affiliation":[{"name":"Beihang Univerisity, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4562-2279","authenticated-orcid":false,"given":"Li","family":"Sun","sequence":"additional","affiliation":[{"name":"North China Electric Power University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,11,10]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al.","author":"Achiam Josh","year":"2023","unstructured":"Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al., 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023)."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/1629235.1629236"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.52"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01258-8_15"},{"key":"e_1_3_2_2_5_1","volume-title":"Hyperbolic graph convolutional neural networks. Advances in neural information processing systems","author":"Chami Ines","year":"2019","unstructured":"Ines Chami, Zhitao Ying, Christopher R\u00e9, and Jure Leskovec. 2019. Hyperbolic graph convolutional neural networks. Advances in neural information processing systems, Vol. 32 (2019)."},{"key":"e_1_3_2_2_6_1","volume-title":"Fully hyperbolic neural networks. arXiv preprint arXiv:2105.14686","author":"Chen Weize","year":"2021","unstructured":"Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, and Jie Zhou. 2021. Fully hyperbolic neural networks. arXiv preprint arXiv:2105.14686 (2021)."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1017"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1158"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00022"},{"key":"e_1_3_2_2_10_1","volume-title":"Qlora: Efficient finetuning of quantized llms. Advances in neural information processing systems","author":"Dettmers Tim","year":"2023","unstructured":"Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2023. Qlora: Efficient finetuning of quantized llms. Advances in neural information processing systems, Vol. 36 (2023), 10088-10115."},{"key":"e_1_3_2_2_11_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11432-017-9359-x"},{"key":"e_1_3_2_2_13_1","volume-title":"Hyperbolic neural networks. Advances in neural information processing systems","author":"Ganea Octavian","year":"2018","unstructured":"Octavian Ganea, Gary B\u00e9cigneul, and Thomas Hofmann. 2018. Hyperbolic neural networks. Advances in neural information processing systems, Vol. 31 (2018)."},{"key":"e_1_3_2_2_14_1","unstructured":"Aaron Grattafiori Abhimanyu Dubey Abhinav Jauhri Abhinav Pandey Abhishek Kadian Ahmad Al-Dahle Aiesha Letman Akhil Mathur Alan Schelten Alex Vaughan et al. 2024. The llama 3 herd of models. arXiv preprint arXiv:2407.21783 (2024)."},{"key":"e_1_3_2_2_15_1","volume-title":"Peter Battaglia, Victor Bapst, David Raposo, Adam Santoro, et al.","author":"Gulcehre Caglar","year":"2018","unstructured":"Caglar Gulcehre, Misha Denil, Mateusz Malinowski, Ali Razavi, Razvan Pascanu, Karl Moritz Hermann, Peter Battaglia, Victor Bapst, David Raposo, Adam Santoro, et al., 2018. Hyperbolic attention networks. arXiv preprint arXiv:1805.09786 (2018)."},{"key":"e_1_3_2_2_16_1","volume-title":"Lora: Efficient low rank adaptation of large models. arXiv preprint arXiv:2402.12354","author":"Hayou Soufiane","year":"2024","unstructured":"Soufiane Hayou, Nikhil Ghosh, and Bin Yu. 2024. Lora: Efficient low rank adaptation of large models. arXiv preprint arXiv:2402.12354 (2024)."},{"key":"e_1_3_2_2_17_1","volume-title":"Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531","author":"Hinton Geoffrey","year":"2015","unstructured":"Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015. Distilling the knowledge in a neural network. arXiv preprint arXiv:1503.02531 (2015)."},{"key":"e_1_3_2_2_18_1","volume-title":"Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies. 1127-1136","author":"Hong Yu","year":"2011","unstructured":"Yu Hong, Jianfeng Zhang, Bin Ma, Jianmin Yao, Guodong Zhou, and Qiaoming Zhu. 2011. Using cross-entity inference to improve event extraction. In Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies. 1127-1136."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1048"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00092"},{"key":"e_1_3_2_2_21_1","volume-title":"International conference on machine learning. PMLR, 2790-2799","author":"Houlsby Neil","year":"2019","unstructured":"Neil Houlsby, Andrei Giurgiu, Stanislaw Jastrzebski, Bruna Morrone, Quentin De Laroussilhe, Andrea Gesmundo, Mona Attariyan, and Sylvain Gelly. 2019. Parameter-efficient transfer learning for NLP. In International conference on machine learning. PMLR, 2790-2799."},{"key":"e_1_3_2_2_22_1","volume-title":"LoRA: Low-Rank Adaptation of Large Language Models. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=nZeVKeeFYf9","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 International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=nZeVKeeFYf9"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1056"},{"key":"e_1_3_2_2_24_1","first-page":"5644","volume-title":"Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING","author":"Kan Zhigang","year":"2024","unstructured":"Zhigang Kan, Liwen Peng, Linbo Qiao, and Dongsheng Li. 2024. Emancipating Event Extraction from the Constraints of Long-Tailed Distribution Data Utilizing Large Language Models. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). 5644-5653."},{"key":"e_1_3_2_2_25_1","volume-title":"The power of scale for parameter-efficient prompt tuning. arXiv preprint arXiv:2104.08691","author":"Lester Brian","year":"2021","unstructured":"Brian Lester, Rami Al-Rfou, and Noah Constant. 2021. The power of scale for parameter-efficient prompt tuning. arXiv preprint arXiv:2104.08691 (2021)."},{"key":"e_1_3_2_2_26_1","volume-title":"Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 73-82","author":"Li Qi","year":"2013","unstructured":"Qi Li, Heng Ji, and Liang Huang. 2013. Joint event extraction via structured prediction with global features. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 73-82."},{"key":"e_1_3_2_2_27_1","volume-title":"Prefix-tuning: Optimizing continuous prompts for generation. arXiv preprint arXiv:2101.00190","author":"Li Xiang Lisa","year":"2021","unstructured":"Xiang Lisa Li and Percy Liang. 2021. Prefix-tuning: Optimizing continuous prompts for generation. arXiv preprint arXiv:2101.00190 (2021)."},{"key":"e_1_3_2_2_28_1","volume-title":"Incremental prompting: Episodic memory prompt for lifelong event detection. arXiv preprint arXiv:2204.07275","author":"Liu Minqian","year":"2022","unstructured":"Minqian Liu, Shiyu Chang, and Lifu Huang. 2022. Incremental prompting: Episodic memory prompt for lifelong event detection. arXiv preprint arXiv:2204.07275 (2022)."},{"key":"e_1_3_2_2_29_1","volume-title":"Hyperbolic graph neural networks. Advances in neural information processing systems","author":"Liu Qi","year":"2019","unstructured":"Qi Liu, Maximilian Nickel, and Douwe Kiela. 2019. Hyperbolic graph neural networks. Advances in neural information processing systems, Vol. 32 (2019)."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1164"},{"key":"e_1_3_2_2_31_1","volume-title":"Forty-first International Conference on Machine Learning.","author":"Liu Shih-Yang","year":"2024","unstructured":"Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, and Min-Hung Chen. 2024. Dora: Weight-decomposed low-rank adaptation. In Forty-first International Conference on Machine Learning."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P14-5010"},{"key":"e_1_3_2_2_33_1","volume-title":"Encoding sentences with graph convolutional networks for semantic role labeling. arXiv preprint arXiv:1703.04826","author":"Marcheggiani Diego","year":"2017","unstructured":"Diego Marcheggiani and Ivan Titov. 2017. Encoding sentences with graph convolutional networks for semantic role labeling. arXiv preprint arXiv:1703.04826 (2017)."},{"key":"e_1_3_2_2_34_1","volume-title":"Proceedings of the 2022 conference of the north american chapter of the association for computational linguistics: Human language technologies. 5588-5599","author":"Nateras Luis Guzman","year":"2022","unstructured":"Luis Guzman Nateras, Minh Van Nguyen, and Thien Nguyen. 2022. Cross-lingual event detection via optimized adversarial training. In Proceedings of the 2022 conference of the north american chapter of the association for computational linguistics: Human language technologies. 5588-5599."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1034"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-2060"},{"key":"e_1_3_2_2_37_1","volume-title":"Poincar\u00e9 embeddings for learning hierarchical representations. Advances in neural information processing systems","author":"Nickel Maximillian","year":"2017","unstructured":"Maximillian Nickel and Douwe Kiela. 2017. Poincar\u00e9 embeddings for learning hierarchical representations. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_2_38_1","volume-title":"International conference on machine learning. PMLR, 3779-3788","author":"Nickel Maximillian","year":"2018","unstructured":"Maximillian Nickel and Douwe Kiela. 2018. Learning continuous hierarchies in the lorentz model of hyperbolic geometry. In International conference on machine learning. PMLR, 3779-3788."},{"key":"e_1_3_2_2_39_1","unstructured":"Yujia Qin Xiaozhi Wang Yusheng Su Yankai Lin Ning Ding Jing Yi Weize Chen Zhiyuan Liu Juanzi Li Lei Hou et al. 2021. Exploring universal intrinsic task subspace via prompt tuning. arXiv preprint arXiv:2110.07867 (2021)."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"e_1_3_2_2_41_1","volume-title":"MELoRA: mini-ensemble low-rank adapters for parameter-efficient fine-tuning. arXiv preprint arXiv:2402.17263","author":"Ren Pengjie","year":"2024","unstructured":"Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, and Jiahuan Pei. 2024. MELoRA: mini-ensemble low-rank adapters for parameter-efficient fine-tuning. arXiv preprint arXiv:2402.17263 (2024)."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450095"},{"key":"e_1_3_2_2_43_1","volume-title":"Hyperbolic neural networks. arXiv preprint arXiv:2006.08210","author":"Shimizu Ryohei","year":"2020","unstructured":"Ryohei Shimizu, Yusuke Mukuta, and Tatsuya Harada. 2020. Hyperbolic neural networks. arXiv preprint arXiv:2006.08210 (2020)."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3450101"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1145\/3626772.3657954"},{"volume-title":"Proceedings of the ACM Web Conference (WWW). 4071-4082","author":"Sun Li","key":"e_1_3_2_2_46_1","unstructured":"Li Sun, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng, Zhengtao Yu, and Philip S. Yu. 2024b. RicciNet: Deep Clustering via A Riemannian Generative Model. In Proceedings of the ACM Web Conference (WWW). 4071-4082."},{"key":"e_1_3_2_2_47_1","volume-title":"Yu","author":"Sun Li","year":"2024","unstructured":"Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, and Philip S. Yu. 2024c. LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering. In Proceedings of the 41st ICML. 47078-47104."},{"key":"e_1_3_2_2_48_1","volume-title":"Yu","author":"Sun Li","year":"2024","unstructured":"Li Sun, Zhenhao Huang, Qiqi Wan, Hao Peng, and Philip S. Yu. 2024d. Spiking Graph Neural Network on Riemannian Manifolds. In Advances in NeurIPS."},{"volume-title":"Proceedings of the 38th AAAI. 9044-9052","author":"Sun Li","key":"e_1_3_2_2_49_1","unstructured":"Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, and Philip S. Yu. 2024 e. Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning. In Proceedings of the 38th AAAI. 9044-9052."},{"key":"e_1_3_2_2_50_1","volume-title":"Yu","author":"Sun Li","year":"2023","unstructured":"Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, and Philip S. Yu. 2023a. DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. In Proceedings of the 23rd ICDM. 558-567."},{"volume-title":"Proceedings of the ACM Web Conference (WWW). ACM, 1154-1165","author":"Sun Li","key":"e_1_3_2_2_51_1","unstructured":"Li Sun, Zhenhao Huang, Suyang Zhou, Qiqi Wan, Hao Peng, and Philip S. Yu. 2025a. RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry. In Proceedings of the ACM Web Conference (WWW). ACM, 1154-1165."},{"key":"e_1_3_2_2_52_1","volume-title":"Yu","author":"Sun Li","year":"2023","unstructured":"Li Sun, Feiyang Wang, Junda Ye, Hao Peng, and Philip S. Yu. 2023b. Congregate: Contrastive Graph Clustering in Curvature Spaces. In Proceedings of the 32nd IJCAI. 2296-2305."},{"volume-title":"Proceedings of the 37th AAAI. 4633-4642","author":"Sun Li","key":"e_1_3_2_2_53_1","unstructured":"Li Sun, Junda Ye, Hao Peng, Feiyang Wang, and Philip S. Yu. 2023c. Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. In Proceedings of the 37th AAAI. 4633-4642."},{"volume-title":"Proceedings of the 31st CIKM. 1827-1836","author":"Sun Li","key":"e_1_3_2_2_54_1","unstructured":"Li Sun, Junda Ye, Hao Peng, and Philip S. Yu. 2022a. A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. In Proceedings of the 31st CIKM. 1827-1836."},{"key":"e_1_3_2_2_55_1","volume-title":"Yu","author":"Sun Li","year":"2025","unstructured":"Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan, Hao Li, Hao Peng, and Philip S. Yu. 2025b. Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics. In Proceedings of the 39th AAAI."},{"volume-title":"Proceedings of the 36th AAAI. 4146-4155","author":"Sun Li","key":"e_1_3_2_2_56_1","unstructured":"Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, and Philip S. Yu. 2022b. A Self-Supervised Mixed-Curvature Graph Neural Network. In Proceedings of the 36th AAAI. 4146-4155."},{"volume-title":"Proceedings of the 35th AAAI. 4375-4383","author":"Sun Li","key":"e_1_3_2_2_57_1","unstructured":"Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, and Philip S. Yu. 2021b. Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. In Proceedings of the 35th AAAI. 4375-4383."},{"key":"e_1_3_2_2_58_1","volume-title":"Yu","author":"Sun Li","year":"2025","unstructured":"Li Sun, Suyang Zhou, Bowen Fang, Hechuan Zhang, Junda Ye, Yutong Ye, and Philip S. Yu. 2025c. Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation. In Proceedings of IJCAI."},{"key":"e_1_3_2_2_59_1","volume-title":"Juliette Love, et al.","author":"Team Gemma","year":"2024","unstructured":"Gemma Team, Thomas Mesnard, Cassidy Hardin, Robert Dadashi, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivi\u00e8re, Mihir Sanjay Kale, Juliette Love, et al., 2024. Gemma: Open models based on gemini research and technology. arXiv preprint arXiv:2403.08295 (2024)."},{"key":"e_1_3_2_2_60_1","volume-title":"Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971","author":"Touvron Hugo","year":"2023","unstructured":"Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timoth\u00e9e Lacroix, Baptiste Rozi\u00e8re, Naman Goyal, Eric Hambro, Faisal Azhar, et al., 2023. Llama: Open and efficient foundation language models. arXiv preprint arXiv:2302.13971 (2023)."},{"key":"e_1_3_2_2_61_1","volume-title":"Ace 2005 multilingual training corpus ldc2006t06","author":"Walker Christopher","year":"2006","unstructured":"Christopher Walker, Stephanie Strassel, Julie Medero, and Kazuaki Maeda. 2006. Ace 2005 multilingual training corpus ldc2006t06, 2006. URL https:\/\/catalog. ldc. upenn. edu\/LDC2006T06 (2006)."},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i17.29877"},{"key":"e_1_3_2_2_63_1","volume-title":"Open event extraction from online text using a generative adversarial network. arXiv preprint arXiv:1908.09246","author":"Wang Rui","year":"2019","unstructured":"Rui Wang, Deyu Zhou, and Yulan He. 2019. Open event extraction from online text using a generative adversarial network. arXiv preprint arXiv:1908.09246 (2019)."},{"key":"e_1_3_2_2_64_1","volume-title":"LoRA ensembles for large language model fine-tuning. arXiv preprint arXiv:2310.00035","author":"Wang Xi","year":"2023","unstructured":"Xi Wang, Laurence Aitchison, and Maja Rudolph. 2023. LoRA ensembles for large language model fine-tuning. arXiv preprint arXiv:2310.00035 (2023)."},{"key":"e_1_3_2_2_65_1","volume-title":"MAVEN: A massive general domain event detection dataset. arXiv preprint arXiv:2004.13590","author":"Wang Xiaozhi","year":"2020","unstructured":"Xiaozhi Wang, Ziqi Wang, Xu Han, Wangyi Jiang, Rong Han, Zhiyuan Liu, Juanzi Li, Peng Li, Yankai Lin, and Jie Zhou. 2020. MAVEN: A massive general domain event detection dataset. arXiv preprint arXiv:2004.13590 (2020)."},{"key":"e_1_3_2_2_66_1","doi-asserted-by":"publisher","DOI":"10.1145\/1553374.1553517"},{"key":"e_1_3_2_2_67_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00046"},{"key":"e_1_3_2_2_68_1","unstructured":"An Yang Baosong Yang Beichen Zhang Binyuan Hui Bo Zheng Bowen Yu Chengyuan Li Dayiheng Liu Fei Huang Haoran Wei et al. 2024b. Qwen2. 5 technical report. arXiv preprint arXiv:2412.15115 (2024)."},{"key":"e_1_3_2_2_69_1","volume-title":"Hyperbolic Fine-tuning for Large Language Models. arXiv preprint arXiv:2410.04010","author":"Yang Menglin","year":"2024","unstructured":"Menglin Yang, Aosong Feng, Bo Xiong, Jihong Liu, Irwin King, and Rex Ying. 2024a. Hyperbolic Fine-tuning for Large Language Models. arXiv preprint arXiv:2410.04010 (2024)."},{"key":"e_1_3_2_2_70_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.428"},{"key":"e_1_3_2_2_71_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449872"},{"key":"e_1_3_2_2_72_1","volume-title":"Adaptive diffusion in graph neural networks. Advances in neural information processing systems","author":"Zhao Jialin","year":"2021","unstructured":"Jialin Zhao, Yuxiao Dong, Ming Ding, Evgeny Kharlamov, and Jie Tang. 2021. Adaptive diffusion in graph neural networks. Advances in neural information processing systems, Vol. 34 (2021), 23321-23333."},{"key":"e_1_3_2_2_73_1","unstructured":"Yuze Zhao Jintao Huang Jinghan Hu Xingjun Wang Yunlin Mao Daoze Zhang Zeyinzi Jiang Zhikai Wu Baole Ai Ang Wang et al. 2024. Swift: a scalable lightweight infrastructure for fine-tuning. arXiv preprint arXiv:2408.05517 (2024)."},{"key":"e_1_3_2_2_74_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2066"},{"key":"e_1_3_2_2_75_1","volume-title":"Counter-interference adapter for multilingual machine translation. arXiv preprint arXiv:2104.08154","author":"Zhu Yaoming","year":"2021","unstructured":"Yaoming Zhu, Jiangtao Feng, Chengqi Zhao, Mingxuan Wang, and Lei Li. 2021. Counter-interference adapter for multilingual machine translation. arXiv preprint arXiv:2104.08154 (2021). n"}],"event":{"name":"CIKM '25: The 34th ACM International Conference on Information and Knowledge Management","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Seoul Republic of Korea","acronym":"CIKM '25"},"container-title":["Proceedings of the 34th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746252.3761303","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T01:17:27Z","timestamp":1765502247000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746252.3761303"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,10]]},"references-count":75,"alternative-id":["10.1145\/3746252.3761303","10.1145\/3746252"],"URL":"https:\/\/doi.org\/10.1145\/3746252.3761303","relation":{},"subject":[],"published":{"date-parts":[[2025,11,10]]},"assertion":[{"value":"2025-11-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}