{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T00:31:34Z","timestamp":1765499494336,"version":"3.48.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","funder":[{"name":"Key-Area Research and Development Program of Guangdong Province","award":["2024B0101050005"],"award-info":[{"award-number":["2024B0101050005"]}]},{"name":"Suzhou Key Laboratory of Artificial Intelligence and Social Governance Technologies","award":["SZS2023007"],"award-info":[{"award-number":["SZS2023007"]}]},{"name":"Smart Social Governance Technology and Innovative Application Platform","award":["YZCXPT2023101"],"award-info":[{"award-number":["YZCXPT2023101"]}]},{"name":"Leadership Talent Program?Science and Education?of SIP"},{"name":"Natural Science Foundation of Inner Mongolia","award":["2024MS06014"],"award-info":[{"award-number":["2024MS06014"]}]},{"name":"Inner Mongolia Key Research and Development and Achievement Transformation","award":["2025YFHH0101"],"award-info":[{"award-number":["2025YFHH0101"]}]},{"name":"Natural Science Foundation of China","award":["62162046,62362054,62366038"],"award-info":[{"award-number":["62162046,62362054,62366038"]}]},{"name":"Engineering Research Center of Ecological Big Data"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,10]]},"DOI":"10.1145\/3746252.3761030","type":"proceedings-article","created":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T23:59:18Z","timestamp":1762559958000},"page":"55-64","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["LLM-Powered Information Extraction for the Dairy Financial Domain: Tackling Data Scarcity and Ambiguity"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5622-9985","authenticated-orcid":false,"given":"Chunyan","family":"An","sequence":"first","affiliation":[{"name":"Inner Mongolia University, Hohhot, Inner Mongolar, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6073-8053","authenticated-orcid":false,"given":"Yuying","family":"Huang","sequence":"additional","affiliation":[{"name":"Inner Mongolia University, Hohhot, Inner Mongolar, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8731-3533","authenticated-orcid":false,"given":"Qiang","family":"Yang","sequence":"additional","affiliation":[{"name":"University of Florida, Gainesville, FL, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3547-2676","authenticated-orcid":false,"given":"Siyu","family":"Yuan","sequence":"additional","affiliation":[{"name":"Inner Mongolia University, Hohhot, Inner Mongolar, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2355-288X","authenticated-orcid":false,"given":"Zhixu","family":"Li","sequence":"additional","affiliation":[{"name":"Renmin University of China, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2025,11,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0254-8"},{"key":"e_1_3_2_1_2_1","unstructured":"Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877-1901."},{"key":"e_1_3_2_1_3_1","volume-title":"Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation. arXiv preprint arXiv:2402.03216","author":"Chen Jianlv","year":"2024","unstructured":"Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, and Zheng Liu. 2024. Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation. arXiv preprint arXiv:2402.03216 (2024)."},{"key":"e_1_3_2_1_4_1","volume-title":"Auggpt: Leveraging chatgpt for text data augmentation","author":"Dai Haixing","year":"2025","unstructured":"Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Yihan Cao, Zihao Wu, Lin Zhao, Shaochen Xu, Fang Zeng, Wei Liu, et al., 2025. Auggpt: Leveraging chatgpt for text data augmentation. IEEE Transactions on Big Data (2025)."},{"key":"e_1_3_2_1_5_1","first-page":"4171","volume-title":"Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies","volume":"1","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. Bert: Pre-training of deep bidirectional transformers for language understanding. In Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers). 4171-4186."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.findings-acl.84"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-34223-4_40"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2015.68"},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of the 3rd Financial Narrative Processing Workshop.","author":"Groth Sebastian","year":"2021","unstructured":"Sebastian Groth, Andreas Schindler, and Chris Biemann. 2021. A Survey of Financial Information Extraction. In Proceedings of the 3rd Financial Narrative Processing Workshop."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-short.13"},{"key":"e_1_3_2_1_11_1","volume-title":"International conference on machine learning. PMLR, 3929-3938","author":"Guu Kelvin","year":"2020","unstructured":"Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Mingwei Chang. 2020. Retrieval augmented language model pre-training. In International conference on machine learning. PMLR, 3929-3938."},{"key":"e_1_3_2_1_12_1","first-page":"3","article-title":"Lora: Low-rank adaptation of large language models","volume":"1","author":"Hu Edward J","year":"2022","unstructured":"Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al., 2022. Lora: Low-rank adaptation of large language models. ICLR, Vol. 1, 2 (2022), 3.","journal-title":"ICLR"},{"key":"e_1_3_2_1_13_1","volume-title":"ICCA-RAG: Intelligent Customs Clearance Assistant Using Retrieval-Augmented Generation (RAG)","author":"Hu Rong","year":"2025","unstructured":"Rong Hu, Sen Liu, Panpan Qi, Jingyi Liu, and Fengyuan Li. 2025. ICCA-RAG: Intelligent Customs Clearance Assistant Using Retrieval-Augmented Generation (RAG). IEEE Access (2025)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2072"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.lifelongnlp-1.3"},{"key":"e_1_3_2_1_16_1","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."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3555742"},{"key":"e_1_3_2_1_18_1","volume-title":"Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692","author":"Liu Yinhan","year":"2019","unstructured":"Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.580"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-020-00847-2"},{"key":"e_1_3_2_1_21_1","unstructured":"J OpenAI Achiam S Adler S Agarwal L Ahmad I Akkaya FL Aleman D Almeida J Altenschmidt S Altman S Anadkat et al. 2023. GPT-4 technical report. arXiv. arXiv preprint arXiv:2303.08774 (2023)."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3701551.3703538"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-66891-4_11"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6009"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1009"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.305"},{"key":"e_1_3_2_1_27_1","volume-title":"Proceedings of the Twelfth Language Resources and Evaluation Conference. 2183-2191","author":"Valenzuela-Esc\u00e1rcega Marco A","year":"2020","unstructured":"Marco A Valenzuela-Esc\u00e1rcega, Gus Hahn-Powell, and Dane Bell. 2020. Odinson: A fast rule-based information extraction framework. In Proceedings of the Twelfth Language Resources and Evaluation Conference. 2183-2191."},{"key":"e_1_3_2_1_28_1","volume-title":"Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le.","author":"Wei Jason","year":"2021","unstructured":"Jason Wei, Maarten Bosma, Vincent Y Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le. 2021. Finetuned language models are zero-shot learners. arXiv preprint arXiv:2109.01652 (2021)."},{"key":"e_1_3_2_1_29_1","volume-title":"Eda: Easy data augmentation techniques for boosting performance on text classification tasks. arXiv preprint arXiv:1901.11196","author":"Wei Jason","year":"2019","unstructured":"Jason Wei and Kai Zou. 2019. Eda: Easy data augmentation techniques for boosting performance on text classification tasks. arXiv preprint arXiv:1901.11196 (2019)."},{"key":"e_1_3_2_1_30_1","unstructured":"Aiyuan Yang Bin Xiao Bingning Wang Borong Zhang Ce Bian Chao Yin Chenxu Lv Da Pan Dian Wang Dong Yan et al. 2023b. Baichuan 2: Open large-scale language models. arXiv preprint arXiv:2309.10305 (2023)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570453"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-demos.38"}],"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\/3746252.3761030","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T00:27:05Z","timestamp":1765499225000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746252.3761030"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,10]]},"references-count":32,"alternative-id":["10.1145\/3746252.3761030","10.1145\/3746252"],"URL":"https:\/\/doi.org\/10.1145\/3746252.3761030","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"}}]}}