{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:09:39Z","timestamp":1765544979804,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T00:00:00Z","timestamp":1729468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Science and Technology Major Project under Grant","award":["2021ZD0114200"],"award-info":[{"award-number":["2021ZD0114200"]}]},{"name":"the Jiangsu Provincial Key Research and Development Program under Grant","award":["BE2022065-1, BE2022065-3"],"award-info":[{"award-number":["BE2022065-1, BE2022065-3"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,21]]},"DOI":"10.1145\/3627673.3680051","type":"proceedings-article","created":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T19:34:11Z","timestamp":1729452851000},"page":"5119-5126","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A Behavior-aware Cause Identification Framework for Order Cancellation in Logistics Service"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-1758-2870","authenticated-orcid":false,"given":"Shuxin","family":"Zhong","sequence":"first","affiliation":[{"name":"Rutgers University, Piscataway, NJ, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-2528-1839","authenticated-orcid":false,"given":"Yahan","family":"Gu","sequence":"additional","affiliation":[{"name":"JD Logistics, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7885-3105","authenticated-orcid":false,"given":"Wenjun","family":"Lyu","sequence":"additional","affiliation":[{"name":"Rutgers University, Piscataway, NJ, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1680-1251","authenticated-orcid":false,"given":"Hongyu","family":"Lin","sequence":"additional","affiliation":[{"name":"JD Logistics, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2364-0188","authenticated-orcid":false,"given":"Guang","family":"Yang","sequence":"additional","affiliation":[{"name":"Rutgers University, Piscataway, NJ, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9706-8612","authenticated-orcid":false,"given":"Yao","family":"Lu","sequence":"additional","affiliation":[{"name":"JD Logistics, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7739-7945","authenticated-orcid":false,"given":"Guang","family":"Wang","sequence":"additional","affiliation":[{"name":"Florida State University, Tallahassee, FL, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1627-5503","authenticated-orcid":false,"given":"Yu","family":"Yang","sequence":"additional","affiliation":[{"name":"Lehigh University, Bethlehem, PA, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9307-8736","authenticated-orcid":false,"given":"Desheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Rutgers University, Piscataway, NJ, USA"}]}],"member":"320","published-online":{"date-parts":[[2024,10,21]]},"reference":[{"key":"e_1_3_2_1_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_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599907"},{"key":"e_1_3_2_1_3_1","volume-title":"A fast unified model for parsing and sentence understanding. arXiv preprint arXiv:1603.06021","author":"Bowman Samuel R","year":"2016","unstructured":"Samuel R Bowman, Jon Gauthier, Abhinav Rastogi, Raghav Gupta, Christopher D Manning, and Christopher Potts. 2016. A fast unified model for parsing and sentence understanding. arXiv preprint arXiv:1603.06021 (2016)."},{"key":"e_1_3_2_1_4_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_5_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, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3430752"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599304"},{"key":"e_1_3_2_1_8_1","volume-title":"Simcse: Simple contrastive learning of sentence embeddings. arXiv preprint arXiv:2104.08821","author":"Gao Tianyu","year":"2021","unstructured":"Tianyu Gao, Xingcheng Yao, and Danqi Chen. 2021. Simcse: Simple contrastive learning of sentence embeddings. arXiv preprint arXiv:2104.08821 (2021)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-24797-2"},{"key":"e_1_3_2_1_10_1","volume-title":"Talk Too Much: Poisoning Large Language Models under Token Limit. arXiv preprint arXiv:2404.14795","author":"He Jiaming","year":"2024","unstructured":"Jiaming He, Wenbo Jiang, Guanyu Hou, Wenshu Fan, Rui Zhang, and Hongwei Li. 2024. Talk Too Much: Poisoning Large Language Models under Token Limit. arXiv preprint arXiv:2404.14795 (2024)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00069"},{"key":"e_1_3_2_1_12_1","volume-title":"Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882","author":"Kim Yoon","year":"2014","unstructured":"Yoon Kim. 2014. Convolutional neural networks for sentence classification. arXiv preprint arXiv:1408.5882 (2014)."},{"key":"e_1_3_2_1_13_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Xiao Liu Hanyu Lai Hao Yu Yifan Xu Aohan Zeng Zhengxiao Du Peng Zhang Yuxiao Dong and Jie Tang. 2023. WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences. (2023).","DOI":"10.1145\/3580305.3599931"},{"key":"e_1_3_2_1_15_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_16_1","volume-title":"REDE: Exploring Relay Transportation for Efficient Last-mile Delivery. In 2023 IEEE 39th International Conference on Data Engineering (ICDE). IEEE, 3003--3016","author":"Lyu Wenjun","year":"2023","unstructured":"Wenjun Lyu, Haotian Wang, Zhiqing Hong, Guang Wang, Yu Yang, Yunhuai Liu, and Desheng Zhang. 2023. REDE: Exploring Relay Transportation for Efficient Last-mile Delivery. In 2023 IEEE 39th International Conference on Data Engineering (ICDE). IEEE, 3003--3016."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Wenjun Lyu Haotian Wang Yiwei Song Yunhuai Liu Tian He and Desheng Zhang. 2023. A Prediction-and-Scheduling Framework for Efficient Order Transfer in Logistics.. In IJCAI. 6130--6137.","DOI":"10.24963\/ijcai.2023\/680"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557132"},{"key":"e_1_3_2_1_19_1","volume-title":"SummQA at MEDIQA-Chat 2023: in-context learning with GPT-4 for medical summarization. arXiv preprint arXiv:2306.17384","author":"Mathur Yash","year":"2023","unstructured":"Yash Mathur, Sanketh Rangreji, Raghav Kapoor, Medha Palavalli, Amanda Bertsch, and Matthew R Gormley. 2023. SummQA at MEDIQA-Chat 2023: in-context learning with GPT-4 for medical summarization. arXiv preprint arXiv:2306.17384 (2023)."},{"key":"e_1_3_2_1_20_1","volume-title":"Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems","author":"Paszke Adam","year":"2019","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al. 2019. Pytorch: An imperative style, high-performance deep learning library. Advances in neural information processing systems, Vol. 32 (2019)."},{"key":"e_1_3_2_1_21_1","volume-title":"Approximation theory of the MLP model in neural networks. Acta numerica","author":"Pinkus Allan","year":"1999","unstructured":"Allan Pinkus. 1999. Approximation theory of the MLP model in neural networks. Acta numerica, Vol. 8 (1999), 143--195."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32381-3_16"},{"key":"e_1_3_2_1_23_1","volume-title":"Attention is all you need. Advances in neural information processing systems","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems, Vol. 30 (2017)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599780"},{"key":"e_1_3_2_1_25_1","volume-title":"A broad-coverage challenge corpus for sentence understanding through inference. arXiv preprint arXiv:1704.05426","author":"Williams Adina","year":"2017","unstructured":"Adina Williams, Nikita Nangia, and Samuel R Bowman. 2017. A broad-coverage challenge corpus for sentence understanding through inference. arXiv preprint arXiv:1704.05426 (2017)."},{"key":"e_1_3_2_1_26_1","volume-title":"QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search.","author":"Xie Jian","year":"2023","unstructured":"Jian Xie, Yidan Liang, Jingping Liu, Yanghua Xiao, Baohua Wu, and Shenghua Ni. 2023. QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search. (2023)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i10.21411"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i16.17668"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645595"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3372224.3419198"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Jing Zhang Xiaokang Zhang Daniel Zhang-Li Jifan Yu Zijun Yao Zeyao Ma Yiqi Xu Haohua Wang Xiaohan Zhang Nianyi Lin et al. 2023. GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation. (2023).","DOI":"10.1145\/3580305.3599832"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599921"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539131"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599850"}],"event":{"name":"CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Boise ID USA","acronym":"CIKM '24"},"container-title":["Proceedings of the 33rd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3680051","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627673.3680051","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:58:17Z","timestamp":1750294697000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3680051"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,21]]},"references-count":34,"alternative-id":["10.1145\/3627673.3680051","10.1145\/3627673"],"URL":"https:\/\/doi.org\/10.1145\/3627673.3680051","relation":{},"subject":[],"published":{"date-parts":[[2024,10,21]]},"assertion":[{"value":"2024-10-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}