{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T15:24:34Z","timestamp":1776093874978,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":88,"publisher":"ACM","funder":[{"name":"Zhejiang Provincial Natural Science Foundation of China","award":["LD25F020003"],"award-info":[{"award-number":["LD25F020003"]}]},{"name":"NSFC","award":["U22A2032,62402421"],"award-info":[{"award-number":["U22A2032,62402421"]}]},{"name":"Ningbo Yongjiang Talent Programme","award":["2024A-399-G"],"award-info":[{"award-number":["2024A-399-G"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,28]]},"DOI":"10.1145\/3746059.3747689","type":"proceedings-article","created":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T07:44:49Z","timestamp":1758959089000},"page":"1-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["ViseGPT: Towards Better Alignment of LLM-generated Data Wrangling Scripts and User Prompts"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-1438-0561","authenticated-orcid":false,"given":"Jiajun","family":"Zhu","sequence":"first","affiliation":[{"name":"State Key Lab of CAD&amp;CG, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1161-1301","authenticated-orcid":false,"given":"Xinyu","family":"Cheng","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&amp;CG, Zhejiang University, Hangzhou, Zhejiang Province, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-0885-2742","authenticated-orcid":false,"given":"Zhongsu","family":"Luo","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&amp;CG, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7814-4390","authenticated-orcid":false,"given":"Yunfan","family":"Zhou","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&amp;CG, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9736-4454","authenticated-orcid":false,"given":"Xinhuan","family":"Shu","sequence":"additional","affiliation":[{"name":"School of Computing, Newcastle University, Newcastle Upon Tyne, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2712-7274","authenticated-orcid":false,"given":"Di","family":"Weng","sequence":"additional","affiliation":[{"name":"School of Software Technology, Zhejiang University, Ningbo, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1119-3237","authenticated-orcid":false,"given":"Yingcai","family":"Wu","sequence":"additional","affiliation":[{"name":"State Key Lab of CAD&amp;CG, Zhejiang University, Hangzhou, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,9,27]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","unstructured":"Saranya Alagarsamy Chakkrit Tantithamthavorn and Aldeida Aleti. 2024. A3test: Assertion-augmented automated test case generation. Information and Software Technology 176 (2024) 107565. 10.1016\/j.infsof.2024.107565","DOI":"10.1016\/j.infsof.2024.107565"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMPA.2013.7163725"},{"key":"e_1_3_3_2_4_2","unstructured":"Anthropic. 2025. Claude 3.7 Sonnet and Claude Code. Retrieved February 25 2025 from https:\/\/www.anthropic.com\/news\/claude-3-7-sonnet"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/HICSS.1990.205185"},{"key":"e_1_3_3_2_6_2","first-page":"7","volume-title":"Proceedings of Workshop on Constraint Programming for Decision and Control","author":"Bart\u00e1k R.","year":"1999","unstructured":"R. Bart\u00e1k. 1999. Constraint Programming: What is Behind. In Proceedings of Workshop on Constraint Programming for Decision and Control. 7\u201315."},{"key":"e_1_3_3_2_7_2","unstructured":"Hongbo Chen Yifan Zhang Xing Han Huanyao Rong Yuheng Zhang Tianhao Mao Hang Zhang XiaoFeng Wang Luyi Xing and Xun Chen. 2024. WitheredLeaf: Finding Entity-Inconsistency Bugs with LLMs. https:\/\/arxiv.org\/abs\/2405.01668"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606720"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3714135"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1145\/3663529.3663801"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3696410.3714962"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/3654777.3676323"},{"key":"e_1_3_3_2_13_2","unstructured":"Tamraparni Dasu and Theodore Johnson. 2003. Exploratory Data Mining and Data Cleaning. John Wiley & Sons Inc. New York NY."},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/B0-08-043076-7\/00417-4"},{"key":"e_1_3_3_2_15_2","unstructured":"Ximing Dong Dayi Lin Shaowei Wang and Ahmed\u00a0E. Hassan. 2024. A Framework for Real-time Safeguarding the Text Generation of Large Language Model. https:\/\/arxiv.org\/abs\/2404.19048"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","unstructured":"Yihong Dong Jiazheng Ding Xue Jiang Ge Li Zhuo Li and Zhi Jin. 2025. CodeScore: Evaluating Code Generation by Learning Code Execution. ACM Transactions on Software Engineering and Methodology 34 3 (2025). 10.1145\/3695991","DOI":"10.1145\/3695991"},{"key":"e_1_3_3_2_17_2","unstructured":"Finale Doshi-Velez and Been Kim. 2017. Towards A Rigorous Science of Interpretable Machine Learning. https:\/\/arxiv.org\/abs\/1702.08608"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376442"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","unstructured":"David Evans John Guttag James Horning and Yang\u00a0Meng Tan. 1994. LCLint: a tool for using specifications to check code. ACM SIGSOFT Software Engineering Notes (1994) 87\u201396. 10.1145\/195274.195297","DOI":"10.1145\/195274.195297"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","unstructured":"Yingchaojie Feng Xingbo Wang Bo Pan Kam\u00a0Kwai Wong Yi Ren Shi Liu Zihan Yan Yuxin Ma Huamin Qu and Wei Chen. 2024. XNLI: Explaining and Diagnosing NLI-Based Visual Data Analysis. IEEE Transactions on Visualization and Computer Graphics 30 7 (2024) 3813\u20133827. 10.1109\/TVCG.2023.3240003","DOI":"10.1109\/TVCG.2023.3240003"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/VL-HCC57772.2023.00017"},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-19-9948-27"},{"key":"e_1_3_3_2_23_2","unstructured":"Martin Fowler and Matthew Foemmel. 2006. Continuous integration."},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"publisher","unstructured":"Gordon Fraser and Andrea Arcuri. 2014. A Large-Scale Evaluation of Automated Unit Test Generation Using EvoSuite. ACM Transactions on Software Engineering and Methodology 24 2 Article 8 (2014). 10.1145\/2685612","DOI":"10.1145\/2685612"},{"key":"e_1_3_3_2_25_2","unstructured":"Google. 2024. Gemini Advanced: Release updates. Retrieved December 17 2024 from https:\/\/gemini.google.com\/updates"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/3624032.3624035"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","unstructured":"Lei Huang Weijiang Yu Weitao Ma Weihong Zhong Zhangyin Feng Haotian Wang Qianglong Chen Weihua Peng Xiaocheng Feng Bing Qin and Ting Liu. 2025. A Survey on Hallucination in Large Language Models: Principles Taxonomy Challenges and Open Questions. ACM Transactions on Management Information Systems 43 2 Article 42 (2025). 10.1145\/3703155","DOI":"10.1145\/3703155"},{"key":"e_1_3_3_2_28_2","unstructured":"Yihao Huang Chong Wang Xiaojun Jia Qing Guo Felix Juefei-Xu Jian Zhang Geguang Pu and Yang Liu. 2024. Semantic-guided Prompt Organization for Universal Goal Hijacking against LLMs. https:\/\/arxiv.org\/abs\/2405.14189"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"publisher","unstructured":"Anita\u00a0M. Hubley. 2017. Expanding Views on Response Processes Evidence for Validity. Measurement: Interdisciplinary Research and Perspectives (2017) 140\u2013142. 10.1080\/15366367.2017.1404366","DOI":"10.1080\/15366367.2017.1404366"},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"publisher","unstructured":"IEEE. 1990. IEEE Standard Glossary of Software Engineering Terminology. IEEE Std 610.12-1990 (1990) 1\u201384. 10.1109\/IEEESTD.1990.101064","DOI":"10.1109\/IEEESTD.1990.101064"},{"key":"e_1_3_3_2_31_2","unstructured":"Kush Jain Gabriel Synnaeve and Baptiste Rozi\u00e8re. 2024. TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark. https:\/\/arxiv.org\/abs\/2410.00752"},{"key":"e_1_3_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.123"},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"crossref","unstructured":"Fengqing Jiang Zhangchen Xu Luyao Niu Bill\u00a0Yuchen Lin and Radha Poovendran. 2025. ChatBug: A Common Vulnerability of Aligned LLMs Induced by Chat Templates. https:\/\/arxiv.org\/abs\/2406.12935","DOI":"10.1609\/aaai.v39i26.34945"},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"publisher","unstructured":"Sean Kandel Jeffrey Heer Catherine Plaisant Jessie Kennedy Frank van Ham Nathalie\u00a0Henry Riche Chris Weaver Bongshin Lee Dominique Brodbeck and Paolo Buono. 2011. Research directions in data wrangling: Visualizations and transformations for usable and credible data. Information Visualization (2011) 271\u2013288. 10.1177\/1473871611415994","DOI":"10.1177\/1473871611415994"},{"key":"e_1_3_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.1145\/1978942.1979444"},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.1109\/BigData62323.2024.10825265"},{"key":"e_1_3_3_2_37_2","volume-title":"Proceedings of Advances in Neural Information Processing Systems","volume":"32","author":"Kulal Sumith","year":"2019","unstructured":"Sumith Kulal, Panupong Pasupat, Kartik Chandra, Mina Lee, Oded Padon, Alex Aiken, and Percy\u00a0S Liang. 2019. SPoC: Search-based Pseudocode to Code. In Proceedings of Advances in Neural Information Processing Systems , Vol.\u00a032. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2019\/file\/7298332f04ac004a0ca44cc69ecf6f6b-Paper.pdf"},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"publisher","unstructured":"Rob Law. 1997. An overview of debugging tools. ACM SIGSOFT Software Engineering Notes (1997) 43\u201347. 10.1145\/251880.251926","DOI":"10.1145\/251880.251926"},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.1145\/3654777.3676437"},{"key":"e_1_3_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.1145\/1357054.1357323"},{"key":"e_1_3_3_2_41_2","first-page":"4952","volume-title":"Proceedings of Advances in Neural Information Processing Systems","volume":"36","author":"Li Hongxin","year":"2023","unstructured":"Hongxin Li, Jingran Su, Yuntao Chen, Qing Li, and ZHAO-XIANG ZHANG. 2023. SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models. In Proceedings of Advances in Neural Information Processing Systems , Vol.\u00a036. Curran Associates, Inc., 4952\u20134984."},{"key":"e_1_3_3_2_42_2","doi-asserted-by":"publisher","DOI":"10.1145\/3650203.3663334"},{"key":"e_1_3_3_2_43_2","unstructured":"Chi-Liang Liu Hung yi Lee and Wen tau Yih. 2022. Structured Prompt Tuning. https:\/\/arxiv.org\/abs\/2205.12309"},{"key":"e_1_3_3_2_44_2","doi-asserted-by":"publisher","DOI":"10.1145\/3691620.3695267"},{"key":"e_1_3_3_2_45_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580817"},{"key":"e_1_3_3_2_46_2","doi-asserted-by":"crossref","unstructured":"Shaoying Liu Tetsuo Tamai and Shin Nakajima. 2011. A framework for integrating formal specification review and testing to enhance software reliability. International Journal of Software Engineering and Knowledge Engineering (2011) 259\u2013288.","DOI":"10.1142\/S0218194011005268"},{"key":"e_1_3_3_2_47_2","doi-asserted-by":"publisher","unstructured":"Ziao Liu Xiao Xie Moqi He Wenshuo Zhao Yihong Wu Liqi Cheng Hui Zhang and Yingcai Wu. 2025. Smartboard: Visual Exploration of Team Tactics with LLM Agent. IEEE Transactions on Visualization and Computer Graphics 31 1 (2025) 23\u201333. 10.1109\/TVCG.2024.3456200","DOI":"10.1109\/TVCG.2024.3456200"},{"key":"e_1_3_3_2_48_2","doi-asserted-by":"publisher","unstructured":"Zhongsu Luo Kai Xiong Jiajun Zhu Ran Chen Xinhuan Shu Di Weng and Yingcai Wu. 2025. Ferry: Toward Better Understanding of Input\/Output Space for Data Wrangling Scripts. IEEE Transactions on Visualization and Computer Graphics 31 1 (2025) 1202\u20131212. 10.1109\/TVCG.2024.3456328","DOI":"10.1109\/TVCG.2024.3456328"},{"key":"e_1_3_3_2_49_2","unstructured":"Qianou Ma Weirui Peng Chenyang Yang Hua Shen Kenneth Koedinger and Tongshuang Wu. 2024. What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use. https:\/\/arxiv.org\/abs\/2409.08775"},{"key":"e_1_3_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.1145\/2807442.2807459"},{"key":"e_1_3_3_2_51_2","unstructured":"Nat McAleese Rai\u00a0Michael Pokorny Juan Felipe\u00a0Ceron Uribe Evgenia Nitishinskaya Maja Trebacz and Jan Leike. 2024. LLM Critics Help Catch LLM Bugs. https:\/\/arxiv.org\/abs\/2407.00215"},{"key":"e_1_3_3_2_52_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.mrl-1.26"},{"key":"e_1_3_3_2_53_2","doi-asserted-by":"publisher","DOI":"10.1145\/502348.502361"},{"key":"e_1_3_3_2_54_2","doi-asserted-by":"publisher","DOI":"10.1109\/ESEM.2009.5315981"},{"key":"e_1_3_3_2_55_2","doi-asserted-by":"publisher","unstructured":"F. MODUGNO and B.A. MYERS. 1997. Visual Programming in a Visual Shell\u2014A Unified Approach. Journal of Visual Languages & Computing 8 5 (1997) 491\u2013522. 10.1006\/jvlc.1997.0049","DOI":"10.1006\/jvlc.1997.0049"},{"key":"e_1_3_3_2_56_2","doi-asserted-by":"publisher","unstructured":"Dominik Moritz Chenglong Wang Greg\u00a0L. Nelson Halden Lin Adam\u00a0M. Smith Bill Howe and Jeffrey Heer. 2019. Formalizing Visualization Design Knowledge as Constraints: Actionable and Extensible Models in Draco. IEEE Transactions on Visualization and Computer Graphics 25 1 (2019) 438\u2013448. 10.1109\/TVCG.2018.2865240","DOI":"10.1109\/TVCG.2018.2865240"},{"key":"e_1_3_3_2_57_2","doi-asserted-by":"publisher","unstructured":"Zan\u00a0Ahmad Naeem Mohammad\u00a0Shahmeer Ahmad Mohamed Eltabakh Mourad Ouzzani and Nan Tang. 2024. RetClean: Retrieval-Based Data Cleaning Using LLMs and Data Lakes. Proceedings of the VLDB Endowment 17 12 (2024) 4421\u20134424. 10.14778\/3685800.3685890","DOI":"10.14778\/3685800.3685890"},{"key":"e_1_3_3_2_58_2","doi-asserted-by":"publisher","DOI":"10.1145\/3397481.3450667"},{"key":"e_1_3_3_2_59_2","doi-asserted-by":"crossref","unstructured":"Donald\u00a0A Norman. 1986. Cognitive engineering. User centered system design 31 61 (1986) 2.","DOI":"10.1201\/b15703-3"},{"key":"e_1_3_3_2_60_2","unstructured":"OpenAI. 2024. Data analysis with ChatGPT. Retrieved June 1 2024 from https:\/\/help.openai.com\/en\/articles\/8437071-data-analysis-with-chatgpt"},{"key":"e_1_3_3_2_61_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICSME58944.2024.00055"},{"key":"e_1_3_3_2_62_2","unstructured":"Luigi Pinca. 2025. WebSockets. https:\/\/developer.mozilla.org\/en-US\/docs\/Web\/API\/WebSockets_API"},{"key":"e_1_3_3_2_63_2","doi-asserted-by":"publisher","DOI":"10.1145\/3654777.3676348"},{"key":"e_1_3_3_2_64_2","unstructured":"KK Ramachandran and KK Karthick. 2019. Gantt chart: An important tool of management. International Journal of Innovative Technology and Exploring Engineering 8 7 (2019) 140\u2013142."},{"key":"e_1_3_3_2_65_2","doi-asserted-by":"publisher","unstructured":"Max Sch\u00e4fer Sarah Nadi Aryaz Eghbali and Frank Tip. 2024. An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation. IEEE Transactions on Software Engineering 50 1 (2024) 85\u2013105. 10.1109\/TSE.2023.3334955","DOI":"10.1109\/TSE.2023.3334955"},{"key":"e_1_3_3_2_66_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-07668-3_37"},{"key":"e_1_3_3_2_67_2","doi-asserted-by":"publisher","DOI":"10.1145\/3654777.3676450"},{"key":"e_1_3_3_2_68_2","volume-title":"The art of agile development","author":"Shore James","year":"2021","unstructured":"James Shore and Shane Warden. 2021. The art of agile development. \" O\u2019Reilly Media, Inc.\"."},{"key":"e_1_3_3_2_69_2","doi-asserted-by":"publisher","DOI":"10.1145\/3472749.3474744"},{"key":"e_1_3_3_2_70_2","unstructured":"Meta\u00a0Open Source. 2024. React. https:\/\/react.dev\/"},{"key":"e_1_3_3_2_71_2","doi-asserted-by":"publisher","unstructured":"John Sweller. 1988. Cognitive load during problem solving: Effects on learning. Cognitive Science 12 2 (1988) 257\u2013285. 10.1016\/0364-0213(88)90023-7","DOI":"10.1016\/0364-0213(88)90023-7"},{"key":"e_1_3_3_2_72_2","doi-asserted-by":"publisher","DOI":"10.1145\/3654777.3676347"},{"key":"e_1_3_3_2_73_2","unstructured":"Team UEQ. 2024. UEQ. https:\/\/www.ueq-online.org\/"},{"key":"e_1_3_3_2_74_2","doi-asserted-by":"publisher","DOI":"10.1145\/3691620.3695501"},{"key":"e_1_3_3_2_75_2","doi-asserted-by":"publisher","DOI":"10.1145\/3691620.3695501"},{"key":"e_1_3_3_2_76_2","doi-asserted-by":"publisher","DOI":"10.1145\/3377811.3380429"},{"key":"e_1_3_3_2_77_2","doi-asserted-by":"publisher","unstructured":"James\u00a0M. Wilson. 2003. Gantt charts: A centenary appreciation. European Journal of Operational Research 149 2 (2003) 430\u2013437. 10.1016\/S0377-2217(02)00769-5","DOI":"10.1016\/S0377-2217(02)00769-5"},{"key":"e_1_3_3_2_78_2","doi-asserted-by":"publisher","DOI":"10.1145\/3654777.3676374"},{"key":"e_1_3_3_2_79_2","doi-asserted-by":"publisher","unstructured":"Tao Xie and David Notkin. 2006. Tool-assisted unit-test generation and selection based on operational abstractions. Automated Software Engineering 13 3 (2006) 345\u2013371. 10.1007\/s10851-006-8530-6","DOI":"10.1007\/s10851-006-8530-6"},{"key":"e_1_3_3_2_80_2","doi-asserted-by":"publisher","unstructured":"Kai Xiong Siwei Fu Guoming Ding Zhongsu Luo Rong Yu Wei Chen Hujun Bao and Yingcai Wu. 2023. Visualizing the Scripts of Data Wrangling With Somnus. IEEE Transactions on Visualization and Computer Graphics (2023) 2950\u20132964. 10.1109\/TVCG.2022.3144975","DOI":"10.1109\/TVCG.2022.3144975"},{"key":"e_1_3_3_2_81_2","doi-asserted-by":"crossref","unstructured":"Lin Yang Chen Yang Shutao Gao Weijing Wang Bo Wang Qihao Zhu Xiao Chu Jianyi Zhou Guangtai Liang Qianxiang Wang and Junjie Chen. 2024. On the Evaluation of Large Language Models in Unit Test Generation. https:\/\/arxiv.org\/abs\/2406.18181","DOI":"10.1145\/3691620.3695529"},{"key":"e_1_3_3_2_82_2","doi-asserted-by":"crossref","unstructured":"Zhiyu Yang Zihan Zhou Shuo Wang Xin Cong Xu Han Yukun Yan Zhenghao Liu Zhixing Tan Pengyuan Liu Dong Yu Zhiyuan Liu Xiaodong Shi and Maosong Sun. 2024. MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization. https:\/\/arxiv.org\/abs\/2402.11453","DOI":"10.18653\/v1\/2024.findings-acl.701"},{"key":"e_1_3_3_2_83_2","unstructured":"Xin Yin Chao Ni Xiaodan Xu and Xiaohu Yang. 2024. What You See Is What You Get: Attention-based Self-guided Automatic Unit Test Generation. https:\/\/arxiv.org\/abs\/2412.00828"},{"key":"e_1_3_3_2_84_2","unstructured":"Andy Yu. 2023. Improving Efficiency in Data Wrangling With Semantic Type Detection. Ph.\u00a0D. Dissertation. University of Hawai\u2019i at Manoa."},{"key":"e_1_3_3_2_85_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDEW61823.2024.00044"},{"key":"e_1_3_3_2_86_2","doi-asserted-by":"publisher","DOI":"10.1145\/3526113.3545653"},{"key":"e_1_3_3_2_87_2","doi-asserted-by":"publisher","unstructured":"Zhichao Zhou Yuming Zhou Chunrong Fang Zhenyu Chen Xiapu Luo Jingzhu He and Yutian Tang. 2024. Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation. IEEE Transactions on Software Engineering 50 4 (2024) 854\u2013883. 10.1109\/TSE.2024.3366613","DOI":"10.1109\/TSE.2024.3366613"},{"key":"e_1_3_3_2_88_2","doi-asserted-by":"publisher","unstructured":"Xinhua Zhu Zhongjie Kuang and Lanfang Zhang. 2023. A prompt model with combined semantic refinement for aspect sentiment analysis. Information Processing & Management 60 5 (2023) 103462. 10.1016\/j.ipm.2023.103462","DOI":"10.1016\/j.ipm.2023.103462"},{"key":"e_1_3_3_2_89_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-53337-3_8"}],"event":{"name":"UIST '25: The 38th Annual ACM Symposium on User Interface Software and Technology","location":"Busan Republic of Korea","acronym":"UIST '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"]},"container-title":["Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746059.3747689","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T22:10:32Z","timestamp":1759011032000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746059.3747689"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,27]]},"references-count":88,"alternative-id":["10.1145\/3746059.3747689","10.1145\/3746059"],"URL":"https:\/\/doi.org\/10.1145\/3746059.3747689","relation":{},"subject":[],"published":{"date-parts":[[2025,9,27]]},"assertion":[{"value":"2025-09-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}