{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T22:40:12Z","timestamp":1759012812913,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":100,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T00:00:00Z","timestamp":1758931200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["DGE-2243822"],"award-info":[{"award-number":["DGE-2243822"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-2129008"],"award-info":[{"award-number":["IIS-2129008"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,28]]},"DOI":"10.1145\/3746059.3747625","type":"proceedings-article","created":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T07:49:12Z","timestamp":1758959352000},"page":"1-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Steering Semantic Data Processing With DocWrangler"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0919-9672","authenticated-orcid":false,"given":"Shreya","family":"Shankar","sequence":"first","affiliation":[{"name":"University of California, Berkeley, Berkeley, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8638-3863","authenticated-orcid":false,"given":"Bhavya","family":"Chopra","sequence":"additional","affiliation":[{"name":"University of California, Berkeley, Berkeley, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0608-6659","authenticated-orcid":false,"given":"Mawil","family":"Hasan","sequence":"additional","affiliation":[{"name":"UC Berkeley, Berkeley, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9770-1979","authenticated-orcid":false,"given":"Stephen","family":"Lee","sequence":"additional","affiliation":[{"name":"UC Berkeley, Berkeley, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0693-0829","authenticated-orcid":false,"given":"Bjoern","family":"Hartmann","sequence":"additional","affiliation":[{"name":"UC Berkeley, Berkeley, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7712-4306","authenticated-orcid":false,"given":"Joseph","family":"Hellerstein","sequence":"additional","affiliation":[{"name":"UC Berkeley, Berkeley, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4538-4752","authenticated-orcid":false,"given":"Aditya","family":"Parameswaran","sequence":"additional","affiliation":[{"name":"UC Berkeley, Berkeley, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4254-6688","authenticated-orcid":false,"given":"Eugene","family":"Wu","sequence":"additional","affiliation":[{"name":"Columbia University, New York, NY, USA"}],"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","DOI":"10.1145\/3613904.3642858"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300233"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300233"},{"key":"e_1_3_3_2_5_2","volume-title":"Proceedings of the Conference on Innovative Data Systems Research (CIDR)","author":"Anderson Eric","year":"2025","unstructured":"Eric Anderson, Jonathan Fritz, Austin Lee, Bohou Li, Mark Lindblad, Henry Lindeman, Alex Meyer, Parth Parmar, Tanvi Ranade, Mehul\u00a0A. Shah, Benjamin Sowell, Dan Tecuci, Vinayak Thapliyal, and Matt Welsh. 2025. The Design of an LLM-powered Unstructured Analytics System. In Proceedings of the Conference on Innovative Data Systems Research (CIDR). https:\/\/mail.vldb.org\/cidrdb\/papers\/2025\/p13-anderson.pdf"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642016"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"crossref","unstructured":"Marcia\u00a0J Bates. 1989. The design of browsing and berrypicking techniques for the online search interface. Online review 13 5 (1989) 407\u2013424.","DOI":"10.1108\/eb024320"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/2882903.2882919"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580651"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"crossref","unstructured":"Alan Blackwell and Thomas Green. 2003. Notational systems\u2013the cognitive dimensions of notations framework. HCI models theories and frameworks: toward an interdisciplinary science. Morgan Kaufmann 234 (2003).","DOI":"10.1016\/B978-155860808-5\/50005-8"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606725"},{"key":"e_1_3_3_2_12_2","unstructured":"Bazyli Brzoska. 2025. gpt-tokenizer: A Token Byte Pair Encoder\/Decoder for OpenAI Models. https:\/\/www.npmjs.com\/package\/gpt-tokenizer Accessed: 2025-04-07."},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Zana Bu\u00e7inca Maja\u00a0Barbara Malaya and Krzysztof\u00a0Z Gajos. 2021. To trust or to think: cognitive forcing functions can reduce overreliance on AI in AI-assisted decision-making. Proceedings of the ACM on Human-computer Interaction 5 CSCW1 (2021) 1\u201321.","DOI":"10.1145\/3449287"},{"key":"e_1_3_3_2_14_2","unstructured":"Valerie Chen Alan Zhu Sebastian Zhao Hussein Mozannar David Sontag and Ameet Talwalkar. 2024. Need Help? Designing Proactive AI Assistants for Programming. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2410.04596 (2024)."},{"key":"e_1_3_3_2_15_2","unstructured":"Bhavya Chopra Ananya Singha Anna Fariha Sumit Gulwani Chris Parnin Ashish Tiwari and Austin\u00a0Z Henley. 2023. Conversational challenges in ai-powered data science: Obstacles needs and design opportunities. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2310.16164 (2023)."},{"key":"e_1_3_3_2_16_2","unstructured":"Michael Coblenz Chris Martens and Luke Church. 2021. Programming Languages + Human-Computer Interaction: Continuing the story at SPLASH 2020. SIGPLAN Blog. https:\/\/blog.sigplan.org\/2021\/07\/06\/programming-languages-human-computer-interaction-continuing-the-story-at-splash-2020\/ Accessed: 2025-04-03."},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/985692.985715"},{"key":"e_1_3_3_2_18_2","unstructured":"Hai Dang Lukas Mecke Florian Lehmann Sven Goller and Daniel Buschek. 2022. How to prompt? Opportunities and challenges of zero-and few-shot learning for human-AI interaction in creative applications of generative models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2209.01390 (2022)."},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"crossref","unstructured":"Jeffrey Dean and Sanjay Ghemawat. 2008. MapReduce: simplified data processing on large clusters. Commun. ACM 51 1 (2008) 107\u2013113.","DOI":"10.1145\/1327452.1327492"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"crossref","unstructured":"AnHai Doan Jeffrey\u00a0F Naughton Raghu Ramakrishnan Akanksha Baid Xiaoyong Chai Fei Chen Ting Chen Eric Chu Pedro DeRose Byron Gao et\u00a0al. 2009. Information extraction challenges in managing unstructured data. ACM SIGMOD Record 37 4 (2009) 14\u201320.","DOI":"10.1145\/1519103.1519106"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","unstructured":"John\u00a0J. Dudley and Per\u00a0Ola Kristensson. 2018. A Review of User Interface Design for Interactive Machine Learning. 8 2 (2018) 1\u201337. 10.1145\/3185517","DOI":"10.1145\/3185517"},{"key":"e_1_3_3_2_22_2","unstructured":"KJ Feng Kevin Pu Matt Latzke Tal August Pao Siangliulue Jonathan Bragg Daniel\u00a0S Weld Amy\u00a0X Zhang and Joseph\u00a0Chee Chang. 2024. Cocoa: Co-Planning and Co-Execution with AI Agents. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2412.10999 (2024)."},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"crossref","unstructured":"Raul\u00a0Castro Fernandez Aaron\u00a0J Elmore Michael\u00a0J Franklin Sanjay Krishnan and Chenhao Tan. 2023. How large language models will disrupt data management. Proceedings of the VLDB Endowment 16 11 (2023) 3302\u20133309.","DOI":"10.14778\/3611479.3611527"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"publisher","unstructured":"Madeleine Grunde-McLaughlin Michelle\u00a0S. Lam Ranjay Krishna Daniel\u00a0S. Weld and Jeffrey Heer. 2025. Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows. ACM Trans. Comput.-Hum. Interact. 32 3 Article 27 (2025) 57\u00a0pages. 10.1145\/3716134","DOI":"10.1145\/3716134"},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3641891"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-40229-1_2"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"crossref","unstructured":"Hossein Hassani and Emmanuel\u00a0Sirmal Silva. 2023. The role of ChatGPT in data science: how ai-assisted conversational interfaces are revolutionizing the field. Big data and cognitive computing 7 2 (2023) 62.","DOI":"10.3390\/bdcc7020062"},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"crossref","unstructured":"Jeffrey Heer. 2019. Agency plus automation: Designing artificial intelligence into interactive systems. Proceedings of the National Academy of Sciences 116 6 (2019) 1844\u20131850.","DOI":"10.1073\/pnas.1807184115"},{"key":"e_1_3_3_2_29_2","volume-title":"CIDR","author":"Heer Jeffrey","year":"2015","unstructured":"Jeffrey Heer, Joseph\u00a0M Hellerstein, and Sean Kandel. 2015. Predictive Interaction for Data Transformation.. In CIDR. Citeseer."},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"crossref","unstructured":"Joseph\u00a0M Hellerstein Michael Stonebraker James Hamilton et\u00a0al. 2007. Architecture of a database system. Foundations and Trends\u00ae in Databases 1 2 (2007) 141\u2013259.","DOI":"10.1561\/1900000002"},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"crossref","unstructured":"Harry Hochheiser and Ben Shneiderman. 2004. Dynamic query tools for time series data sets: timebox widgets for interactive exploration. Information Visualization 3 1 (2004) 1\u201318.","DOI":"10.1057\/palgrave.ivs.9500061"},{"key":"e_1_3_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1145\/302979.303030"},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1145\/3708359.3712102"},{"key":"e_1_3_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/3618260.3649777"},{"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":"crossref","unstructured":"Sean Kandel Andreas Paepcke Joseph\u00a0M Hellerstein and Jeffrey Heer. 2012. Enterprise data analysis and visualization: An interview study. IEEE transactions on visualization and computer graphics 18 12 (2012) 2917\u20132926.","DOI":"10.1109\/TVCG.2012.219"},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1145\/3654777.3676345"},{"key":"e_1_3_3_2_38_2","volume-title":"The Twelfth International Conference on Learning Representations","author":"Khattab Omar","year":"2024","unstructured":"Omar Khattab, Arnav Singhvi, Paridhi Maheshwari, Zhiyuan Zhang, Keshav Santhanam, Saiful Haq, Ashutosh Sharma, Thomas\u00a0T Joshi, Hanna Moazam, Heather Miller, et\u00a0al. 2024. Dspy: Compiling declarative language model calls into state-of-the-art pipelines. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642216"},{"key":"e_1_3_3_2_40_2","doi-asserted-by":"crossref","unstructured":"David Kirsh and Paul Maglio. 1994. On distinguishing epistemic from pragmatic action. Cognitive science 18 4 (1994) 513\u2013549.","DOI":"10.1207\/s15516709cog1804_1"},{"key":"e_1_3_3_2_41_2","first-page":"87","volume-title":"Positioning and power in academic publishing: Players, agents and agendas","author":"Kluyver Thomas","year":"2016","unstructured":"Thomas Kluyver, Benjamin Ragan-Kelley, Fernando P\u00e9rez, Brian Granger, Matthias Bussonnier, Jonathan Frederic, Kyle Kelley, Jessica Hamrick, Jason Grout, Sylvain Corlay, et\u00a0al. 2016. Jupyter Notebooks\u2013a publishing format for reproducible computational workflows. In Positioning and power in academic publishing: Players, agents and agendas. IOS press, 87\u201390."},{"key":"e_1_3_3_2_42_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642830"},{"key":"e_1_3_3_2_43_2","unstructured":"Doris Jung-Lin Lee Dixin Tang Kunal Agarwal Thyne Boonmark Caitlyn Chen Jake Kang Ujjaini Mukhopadhyay Jerry Song Micah Yong Marti\u00a0A Hearst et\u00a0al. 2021. Lux: always-on visualization recommendations for exploratory dataframe workflows. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2105.00121 (2021)."},{"key":"e_1_3_3_2_44_2","doi-asserted-by":"publisher","DOI":"10.1201\/b14499"},{"key":"e_1_3_3_2_45_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606831"},{"key":"e_1_3_3_2_46_2","unstructured":"Chunwei Liu Matthew Russo Michael Cafarella Lei Cao Peter\u00a0Baille Chen Zui Chen Michael Franklin Tim Kraska Samuel Madden and Gerardo Vitagliano. 2024. A Declarative System for Optimizing AI Workloads. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2405.14696 (2024)."},{"key":"e_1_3_3_2_47_2","unstructured":"Chunwei Liu Gerardo Vitagliano Brandon Rose Matt Prinz David\u00a0Andrew Samson and Michael Cafarella. 2025. PalimpChat: Declarative and Interactive AI analytics. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2502.03368 (2025)."},{"key":"e_1_3_3_2_48_2","doi-asserted-by":"crossref","unstructured":"Nelson\u00a0F Liu Kevin Lin John Hewitt Ashwin Paranjape Michele Bevilacqua Fabio Petroni and Percy Liang. 2024. Lost in the middle: How language models use long contexts. Transactions of the Association for Computational Linguistics 12 (2024) 157\u2013173.","DOI":"10.1162\/tacl_a_00638"},{"key":"e_1_3_3_2_49_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501825"},{"key":"e_1_3_3_2_50_2","unstructured":"Qianou Ma Weirui Peng Hua Shen Kenneth Koedinger and Tongshuang Wu. 2024. What you say= what you want? Teaching humans to articulate requirements for LLMs. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2409.08775 (2024)."},{"key":"e_1_3_3_2_51_2","unstructured":"Aman Madaan Niket Tandon Prakhar Gupta Skyler Hallinan Luyu Gao Sarah Wiegreffe Uri Alon Nouha Dziri Shrimai Prabhumoye Yiming Yang et\u00a0al. 2023. Self-refine: Iterative refinement with self-feedback. Advances in Neural Information Processing Systems 36 (2023) 46534\u201346594."},{"key":"e_1_3_3_2_52_2","doi-asserted-by":"crossref","unstructured":"Samuel Madden Michael Cafarella Michael Franklin and Tim Kraska. 2024. Databases Unbound: Querying All of the World\u2019s Bytes with AI. Proceedings of the VLDB Endowment 17 12 (2024) 4546\u20134554.","DOI":"10.14778\/3685800.3685916"},{"key":"e_1_3_3_2_53_2","unstructured":"Wes McKinney et\u00a0al. 2011. pandas: a foundational Python library for data analysis and statistics. Python for high performance and scientific computing 14 9 (2011) 1\u20139."},{"key":"e_1_3_3_2_54_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580940"},{"key":"e_1_3_3_2_55_2","unstructured":"Midjourney. 2025. Midjourney: AI-based Image Generation Service. https:\/\/www.midjourney.com\/. Accessed: 2025-04-09."},{"key":"e_1_3_3_2_56_2","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300356"},{"key":"e_1_3_3_2_57_2","doi-asserted-by":"publisher","DOI":"10.1201\/b17511"},{"key":"e_1_3_3_2_58_2","unstructured":"Allen Newell. 1972. Human problem solving. Upper Saddle River\/Prentive Hall (1972)."},{"key":"e_1_3_3_2_59_2","doi-asserted-by":"publisher","DOI":"10.5555\/2821575"},{"key":"e_1_3_3_2_60_2","volume-title":"Proc. Marktobderdorf Summer School","author":"Nipkow Tobias","year":"2003","unstructured":"Tobias Nipkow. 2003. Jinja: Towards a comprehensive formal semantics for a Java-like language. In Proc. Marktobderdorf Summer School. IOS Press Amsterdam."},{"key":"e_1_3_3_2_61_2","first-page":"241","volume-title":"Some observations on mental models","author":"Norman D.\u00a0A.","year":"1987","unstructured":"D.\u00a0A. Norman. 1987. Some observations on mental models. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 241\u2013244."},{"key":"e_1_3_3_2_62_2","unstructured":"Aditya Parameswaran Shreya Shankar Parth Asawa Naman Jain and Yujie Wang. 2023. Revisiting Prompt Engineering via Declarative Crowdsourcing. (2023). https:\/\/par.nsf.gov\/biblio\/10531530"},{"key":"e_1_3_3_2_63_2","unstructured":"Liana Patel Siddharth Jha Carlos Guestrin and Matei Zaharia. 2024. Lotus: Enabling semantic queries with llms over tables of unstructured and structured data. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2407.11418 (2024)."},{"key":"e_1_3_3_2_64_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01042"},{"key":"e_1_3_3_2_65_2","doi-asserted-by":"publisher","DOI":"10.1145\/3672539.3695751"},{"key":"e_1_3_3_2_66_2","unstructured":"Donald\u00a0A Sch\u00f6n. 1979. The reflective practitioner. New York (1979)."},{"key":"e_1_3_3_2_67_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501972"},{"key":"e_1_3_3_2_68_2","doi-asserted-by":"crossref","unstructured":"Shreya Shankar Haotian Li Parth Asawa Madelon Hulsebos Yiming Lin J Zamfirescu-Pereira Harrison Chase Will Fu-Hinthorn Aditya\u00a0G Parameswaran and Eugene Wu. 2024. SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines. Proc. VLDB Endow (2024).","DOI":"10.14778\/3685800.3685835"},{"key":"e_1_3_3_2_69_2","unstructured":"Shreya Shankar Aditya\u00a0G. Parameswaran and Eugene Wu. 2024. DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing. arxiv:https:\/\/arXiv.org\/abs\/2410.12189\u00a0[cs.DB] https:\/\/arxiv.org\/abs\/2410.12189"},{"key":"e_1_3_3_2_70_2","doi-asserted-by":"publisher","DOI":"10.1145\/3654777.3676450"},{"key":"e_1_3_3_2_71_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-155860915-0\/50046-9"},{"key":"e_1_3_3_2_72_2","doi-asserted-by":"crossref","unstructured":"Ben Shneiderman. 2020. Human-centered artificial intelligence: Reliable safe & trustworthy. International Journal of Human\u2013Computer Interaction 36 6 (2020) 495\u2013504.","DOI":"10.1080\/10447318.2020.1741118"},{"key":"e_1_3_3_2_73_2","doi-asserted-by":"crossref","unstructured":"Tarique Siddiqui Albert Kim John Lee Karrie Karahalios and Aditya Parameswaran. 2016. Effortless Data Exploration with zenvisage: An Expressive and Interactive Visual Analytics System. Proceedings of the VLDB Endowment 10 4 (2016).","DOI":"10.14778\/3025111.3025126"},{"key":"e_1_3_3_2_74_2","doi-asserted-by":"crossref","unstructured":"Tarique Siddiqui Paul Luh Zesheng Wang Karrie Karahalios and Aditya Parameswaran. 2018. Shapesearch: flexible pattern-based querying of trend line visualizations. Proceedings of the VLDB Endowment 11 12 (2018).","DOI":"10.14778\/3229863.3236235"},{"key":"e_1_3_3_2_75_2","unstructured":"Charlie Snell Jaehoon Lee Kelvin Xu and Aviral Kumar. 2024. Scaling llm test-time compute optimally can be more effective than scaling model parameters. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2408.03314 (2024)."},{"key":"e_1_3_3_2_76_2","unstructured":"Inc. Software\u00a0Arts. 1979. VisiCalc. Computer software. https:\/\/www.bricklin.com\/visicalc.htm Originally developed by Dan Bricklin and Bob Frankston."},{"key":"e_1_3_3_2_77_2","doi-asserted-by":"crossref","unstructured":"Chris Stolte Diane Tang and Pat Hanrahan. 2002. Polaris: A system for query analysis and visualization of multidimensional relational databases. IEEE Transactions on visualization and computer graphics 8 1 (2002) 52\u201365.","DOI":"10.1109\/2945.981851"},{"key":"e_1_3_3_2_78_2","doi-asserted-by":"crossref","unstructured":"Hendrik Strobelt Albert Webson Victor Sanh Benjamin Hoover Johanna Beyer Hanspeter Pfister and Alexander\u00a0M Rush. 2022. Interactive and visual prompt engineering for ad-hoc task adaptation with large language models. IEEE transactions on visualization and computer graphics 29 1 (2022) 1146\u20131156.","DOI":"10.1109\/TVCG.2022.3209479"},{"key":"e_1_3_3_2_79_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642754"},{"key":"e_1_3_3_2_80_2","doi-asserted-by":"publisher","DOI":"10.1145\/3708359.3712091"},{"key":"e_1_3_3_2_81_2","unstructured":"Alex Tamkin Kunal Handa Avash Shrestha and Noah Goodman. 2022. Task ambiguity in humans and language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2212.10711 (2022)."},{"key":"e_1_3_3_2_82_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642902"},{"key":"e_1_3_3_2_83_2","doi-asserted-by":"publisher","DOI":"10.1002\/9781394260485"},{"key":"e_1_3_3_2_84_2","doi-asserted-by":"publisher","DOI":"10.1145\/3638380.3638395"},{"key":"e_1_3_3_2_85_2","volume-title":"MAXQDA 2022","author":"Software VERBI","year":"2022","unstructured":"VERBI Software. 2022. MAXQDA 2022. Berlin, Germany. https:\/\/www.maxqda.com"},{"key":"e_1_3_3_2_86_2","unstructured":"Jiayi Wang and Guoliang Li. 2025. Aop: Automated and interactive llm pipeline orchestration for answering complex queries. CIDR."},{"key":"e_1_3_3_2_87_2","doi-asserted-by":"crossref","unstructured":"Yaqing Wang Quanming Yao James\u00a0T Kwok and Lionel\u00a0M Ni. 2020. Generalizing from a few examples: A survey on few-shot learning. ACM computing surveys (csur) 53 3 (2020) 1\u201334.","DOI":"10.1145\/3386252"},{"key":"e_1_3_3_2_88_2","volume-title":"Information visualization: perception for design","author":"Ware Colin","year":"2019","unstructured":"Colin Ware. 2019. Information visualization: perception for design. Morgan Kaufmann."},{"key":"e_1_3_3_2_89_2","unstructured":"Michael Williams and Tami Moser. 2019. The art of coding and thematic exploration in qualitative research. International management review 15 1 (2019) 45\u201355."},{"key":"e_1_3_3_2_90_2","doi-asserted-by":"crossref","unstructured":"Kanit Wongsuphasawat Dominik Moritz Anushka Anand Jock Mackinlay Bill Howe and Jeffrey Heer. 2015. Voyager: Exploratory analysis via faceted browsing of visualization recommendations. IEEE transactions on visualization and computer graphics 22 1 (2015) 649\u2013658.","DOI":"10.1109\/TVCG.2015.2467191"},{"key":"e_1_3_3_2_91_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517582"},{"key":"e_1_3_3_2_92_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706599.3706690"},{"key":"e_1_3_3_2_93_2","doi-asserted-by":"publisher","DOI":"10.1145\/3379337.3415851"},{"key":"e_1_3_3_2_94_2","doi-asserted-by":"publisher","DOI":"10.1145\/3654777.3676374"},{"key":"e_1_3_3_2_95_2","doi-asserted-by":"publisher","DOI":"10.1145\/2501988.2502040"},{"key":"e_1_3_3_2_96_2","doi-asserted-by":"crossref","unstructured":"JD Zamfirescu-Pereira Eunice Jun Michael Terry Qian Yang and Bj\u00f6rn Hartmann. 2025. Beyond Code Generation: LLM-supported Exploration of the Program Design Space. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2503.06911 (2025).","DOI":"10.1145\/3706598.3714154"},{"key":"e_1_3_3_2_97_2","doi-asserted-by":"publisher","DOI":"10.1145\/3563657.3596138"},{"key":"e_1_3_3_2_98_2","unstructured":"Sepanta Zeighami Yiming Lin Shreya Shankar and Aditya Parameswaran. 2025. LLM-Powered Proactive Data Systems. Data Engineering (2025) 90."},{"key":"e_1_3_3_2_99_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3714085"},{"key":"e_1_3_3_2_100_2","doi-asserted-by":"crossref","unstructured":"Xinyang Zhao Xuanhe Zhou and Guoliang Li. 2024. Chat2Data: An Interactive Data Analysis System with RAG Vector Databases and LLMs. Proceedings of the VLDB Endowment 17 12 (2024) 4481\u20134484.","DOI":"10.14778\/3685800.3685905"},{"key":"e_1_3_3_2_101_2","unstructured":"Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu Yonghao Zhuang Zi Lin Zhuohan Li Dacheng Li Eric Xing et\u00a0al. 2023. Judging llm-as-a-judge with mt-bench and chatbot arena. Advances in neural information processing systems 36 (2023) 46595\u201346623."}],"event":{"name":"UIST '25: The 38th Annual ACM Symposium on User Interface Software and Technology","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"],"location":"Busan Republic of Korea","acronym":"UIST '25"},"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\/3746059.3747625","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746059.3747625","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T22:11:36Z","timestamp":1759011096000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746059.3747625"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,27]]},"references-count":100,"alternative-id":["10.1145\/3746059.3747625","10.1145\/3746059"],"URL":"https:\/\/doi.org\/10.1145\/3746059.3747625","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"}}]}}