{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T19:26:35Z","timestamp":1778354795308,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","funder":[{"name":"Guizhou Provincial Program on Commercialization of Scientific and Technological Achievements","award":["Qiankehezhongyindi [2025] No. 006"],"award-info":[{"award-number":["Qiankehezhongyindi [2025] No. 006"]}]},{"name":"The National Natural Science Foundation of China","award":["62202170"],"award-info":[{"award-number":["62202170"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,10]]},"DOI":"10.1145\/3746252.3761636","type":"proceedings-article","created":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T00:52:37Z","timestamp":1762563157000},"page":"6471-6475","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["CSMD: Curated Multimodal Dataset for Chinese Stock Analysis"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-8537-2256","authenticated-orcid":false,"given":"Yu","family":"Liu","sequence":"first","affiliation":[{"name":"East China Normal University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9970-6792","authenticated-orcid":false,"given":"Zhuoying","family":"Li","sequence":"additional","affiliation":[{"name":"East China Normal University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4878-1727","authenticated-orcid":false,"given":"Ruifeng","family":"Yang","sequence":"additional","affiliation":[{"name":"East China Normal University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0838-6994","authenticated-orcid":false,"given":"Fengran","family":"Mo","sequence":"additional","affiliation":[{"name":"University of Montreal, Montreal, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0325-1705","authenticated-orcid":false,"given":"Cen","family":"Chen","sequence":"additional","affiliation":[{"name":"East China Normal University, Shanghai, China"}]}],"member":"320","published-online":{"date-parts":[[2025,11,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1111\/jofi.12364"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1080\/096031097333475"},{"key":"e_1_3_2_1_3_1","volume-title":"Advances in financial machine learning","author":"De Prado Marcos Lopez","unstructured":"Marcos Lopez De Prado. 2018. Advances in financial machine learning. John Wiley & Sons."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2005.06.042"},{"key":"e_1_3_2_1_5_1","volume-title":"Long short-term memory. Neural computation","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation, Vol. 9, 8 (1997), 1735-1780."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159690"},{"key":"e_1_3_2_1_7_1","unstructured":"Kaiyu Huang Fengran Mo Xinyu Zhang Hongliang Li You Li Yuanchi Zhang Weijian Yi Yulong Mao Jinchen Liu Yuzhuang Xu et al. 2024. A survey on large language models with multilingualism: Recent advances and new frontiers. arXiv preprint arXiv:2405.10936 (2024)."},{"key":"e_1_3_2_1_8_1","first-page":"47432","article-title":"CausalStock: Deep end-to-end causal discovery for news-driven multi-stock movement prediction","volume":"37","author":"Li Shuqi","year":"2024","unstructured":"Shuqi Li, Yuebo Sun, Yuxin Lin, Xin Gao, Shuo Shang, and Rui Yan. 2024. CausalStock: Deep end-to-end causal discovery for news-driven multi-stock movement prediction. Advances in Neural Information Processing Systems, Vol. 37 (2024), 47432-47454.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_9_1","first-page":"5816","article-title":"Scinet: Time series modeling and forecasting with sample convolution and interaction","volume":"35","author":"Liu Minhao","year":"2022","unstructured":"Minhao Liu, Ailing Zeng, Muxi Chen, Zhijian Xu, Qiuxia Lai, Lingna Ma, and Qiang Xu. 2022. Scinet: Time series modeling and forecasting with sample convolution and interaction. Advances in Neural Information Processing Systems, Vol. 35 (2022), 5816-5828.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.679"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM58522.2023.00150"},{"key":"e_1_3_2_1_12_1","volume-title":"Adversarial training methods for semi-supervised text classification. arXiv preprint arXiv:1605.07725","author":"Miyato Takeru","year":"2016","unstructured":"Takeru Miyato, Andrew M Dai, and Ian Goodfellow. 2016. Adversarial training methods for semi-supervised text classification. arXiv preprint arXiv:1605.07725 (2016)."},{"key":"e_1_3_2_1_13_1","unstructured":"Arman Khadjeh Nassirtoussi. 2015. A multi-layer dimension reduction algorithm for text mining of news in forex \/ Arman Khadjeh Nassirtoussi. https:\/\/api.semanticscholar.org\/CorpusID:61883046"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.08.004"},{"key":"e_1_3_2_1_15_1","volume-title":"Shi Qiu, Muhammad Saqib, Saeed Anwar, Muhammad Usman, Naveed Akhtar, Nick Barnes, and Ajmal Mian.","author":"Naveed Humza","year":"2023","unstructured":"Humza Naveed, Asad Ullah Khan, Shi Qiu, Muhammad Saqib, Saeed Anwar, Muhammad Usman, Naveed Akhtar, Nick Barnes, and Ajmal Mian. 2023. A comprehensive overview of large language models. arXiv preprint arXiv:2307.06435 (2023)."},{"key":"e_1_3_2_1_16_1","volume-title":"A dual-stage attention-based recurrent neural network for time series prediction. arXiv preprint arXiv:1704.02971","author":"Qin Yao","year":"2017","unstructured":"Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, and Garrison Cottrell. 2017. A dual-stage attention-based recurrent neural network for time series prediction. arXiv preprint arXiv:1704.02971 (2017)."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData55660.2022.10020720"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.09.003"},{"key":"e_1_3_2_1_19_1","volume-title":"LLMFactor: Extracting profitable factors through prompts for explainable stock movement prediction. arXiv preprint arXiv:2406.10811","author":"Wang Meiyun","year":"2024","unstructured":"Meiyun Wang, Kiyoshi Izumi, and Hiroki Sakaji. 2024. LLMFactor: Extracting profitable factors through prompts for explainable stock movement prediction. arXiv preprint arXiv:2406.10811 (2024)."},{"key":"e_1_3_2_1_20_1","volume-title":"Muzhi Li, Zhuhong Li, Hailin He, Yuchen Hua, Peng Lu, Suyuchen Wang, et al.","author":"Wang Xinyu","year":"2025","unstructured":"Xinyu Wang, Jijun Chi, Zhenghan Tai, Tung Sum Thomas Kwok, Muzhi Li, Zhuhong Li, Hailin He, Yuchen Hua, Peng Lu, Suyuchen Wang, et al., 2025. Finsage: A multi-aspect rag system for financial filings question answering. arXiv preprint arXiv:2504.14493 (2025)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3269290"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1183"},{"key":"e_1_3_2_1_23_1","volume-title":"Qlib: An ai-oriented quantitative investment platform. arXiv preprint arXiv:2009.11189","author":"Yang Xiao","year":"2020","unstructured":"Xiao Yang, Weiqing Liu, Dong Zhou, Jiang Bian, and Tie-Yan Liu. 2020. Qlib: An ai-oriented quantitative investment platform. arXiv preprint arXiv:2009.11189 (2020)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467297"}],"event":{"name":"CIKM '25: The 34th ACM International Conference on Information and Knowledge Management","location":"Seoul Republic of Korea","acronym":"CIKM '25","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"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\/3746252.3761636","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T02:26:58Z","timestamp":1765506418000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746252.3761636"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,10]]},"references-count":24,"alternative-id":["10.1145\/3746252.3761636","10.1145\/3746252"],"URL":"https:\/\/doi.org\/10.1145\/3746252.3761636","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"}}]}}