{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T07:56:33Z","timestamp":1776930993561,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":60,"publisher":"ACM","funder":[{"name":"NSF of China","award":["62402409"],"award-info":[{"award-number":["62402409"]}]},{"name":"NSF of China","award":["72371217"],"award-info":[{"award-number":["72371217"]}]},{"name":"Guangzhou Industrial Informatics and Intelligence Key Laboratory","award":["2024A03J0628"],"award-info":[{"award-number":["2024A03J0628"]}]},{"name":"Nansha Key Area Science and Technology Project","award":["2023ZD003"],"award-info":[{"award-number":["2023ZD003"]}]},{"name":"Nansha Key Area Science and Technology Project","award":["2021JC02X191"],"award-info":[{"award-number":["2021JC02X191"]}]},{"name":"Guangdong Basic and Applied Basic Research Foundation","award":["2023A1515110545"],"award-info":[{"award-number":["2023A1515110545"]}]},{"name":"Youth S&T Talent Support Programme of Guangdong Provincial Association for Science and Technology","award":["SKXRC2025461"],"award-info":[{"award-number":["SKXRC2025461"]}]},{"name":"Young Talent Support Project of Guangzhou Association for Science and Technology","award":["QT-2025-001"],"award-info":[{"award-number":["QT-2025-001"]}]},{"name":"Guangzhou Basic and Applied Basic Research Foundation","award":["2025A04J3935"],"award-info":[{"award-number":["2025A04J3935"]}]},{"name":"Guangzhou-HKUST(GZ) Joint Funding Program","award":["2025A03J3714"],"award-info":[{"award-number":["2025A03J3714"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3772318.3791534","type":"proceedings-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T04:12:33Z","timestamp":1776053553000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["TableTale: Reviving the Narrative Interplay Between Data Tables and Text in Scientific Papers"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3481-3993","authenticated-orcid":false,"given":"Liangwei","family":"Wang","sequence":"first","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3370-1976","authenticated-orcid":false,"given":"Zhengxuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5892-5052","authenticated-orcid":false,"given":"Yi-Fan","family":"Cao","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0575-8254","authenticated-orcid":false,"given":"Fugee","family":"Tsung","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology, Hong Kong, China and The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9530-3327","authenticated-orcid":false,"given":"Yuyu","family":"Luo","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2026,4,13]]},"reference":[{"key":"e_1_3_3_2_2_2","unstructured":"AI Best Paper Awards. 2025. AI Best Paper Awards: Robotics\/AI\/ML\/CV\/NLP\/CG. https:\/\/aibestpape.rs\/ Accessed: 2025-09."},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","unstructured":"Tal August Lucy\u00a0Lu Wang Jonathan Bragg Marti\u00a0A. Hearst Andrew Head and Kyle Lo. 2023. Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing. 30 5 Article 74 (2023) 38\u00a0pages. 10.1145\/3589955","DOI":"10.1145\/3589955"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"crossref","unstructured":"Sriram\u00a0Karthik Badam Zhicheng Liu and Niklas Elmqvist. 2018. Elastic documents: Coupling text and tables through contextual visualizations for enhanced document reading. IEEE Transactions on Visualization and Computer Graphics 25 1 (2018) 661\u2013671.","DOI":"10.1109\/TVCG.2018.2865119"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"crossref","unstructured":"Gilbert Badaro Mohammed Saeed and Paolo Papotti. 2023. Transformers for tabular data representation: A survey of models and applications. Transactions of the Association for Computational Linguistics 11 (2023) 227\u2013249.","DOI":"10.1162\/tacl_a_00544"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"publisher","unstructured":"Lyn Bartram Michael Correll and Melanie Tory. 2022. Untidy Data: The Unreasonable Effectiveness of Tables. IEEE Transactions on Visualization and Computer Graphics 28 1 (2022) 686\u2013696. 10.1109\/TVCG.2021.3114830","DOI":"10.1109\/TVCG.2021.3114830"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445922"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580847"},{"key":"e_1_3_3_2_9_2","unstructured":"Wenhu Chen Hongmin Wang Jianshu Chen Yunkai Zhang Hong Wang Shiyang Li Xiyou Zhou and William\u00a0Yang Wang. 2019. Tabfact: A large-scale dataset for table-based fact verification. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1909.02164 (2019)."},{"key":"e_1_3_3_2_10_2","unstructured":"Zhoujun Cheng Tianbao Xie Peng Shi Chengzu Li Rahul Nadkarni Yushi Hu Caiming Xiong Dragomir Radev Mari Ostendorf Luke Zettlemoyer Noah\u00a0A. Smith and Tao Yu. 2023. Binding Language Models in Symbolic Languages. arxiv:https:\/\/arXiv.org\/abs\/2210.02875\u00a0[cs.CL]"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606827"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","unstructured":"Jeff Conklin. 1987. Hypertext: An Introduction and Survey. Computer 20 (10 1987) 17\u201341. 10.1109\/MC.1987.1663693","DOI":"10.1109\/MC.1987.1663693"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/3242587.3242600"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"crossref","unstructured":"Xiang Deng Huan Sun Alyssa Lees You Wu and Cong Yu. 2022. Turl: Table understanding through representation learning. ACM SIGMOD Record 51 1 (2022) 33\u201340.","DOI":"10.1145\/3542700.3542709"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/3654777.3676397"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1145\/3581641.3584034"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3654777.3676359"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/3654777.3676392"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445648"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3501932"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606791"},{"key":"e_1_3_3_2_22_2","unstructured":"Jeff Huang. 2023. Best Paper Awards in Computer Science. https:\/\/jeffhuang.com\/best_paper_awards\/ Accessed: 2025-09."},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"crossref","unstructured":"Jessica Hullman and Nick Diakopoulos. 2011. Visualization rhetoric: Framing effects in narrative visualization. IEEE Transactions on Visualization and Computer Graphics 17 12 (2011) 2231\u20132240.","DOI":"10.1109\/TVCG.2011.255"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"crossref","unstructured":"Hazel Inskip Georgia Ntani Leo Westbury Chiara Di\u00a0Gravio Stefania D\u2019Angelo Camille Parsons and Janis Baird. 2017. Getting started with tables. Archives of Public Health 75 1 (2017) 14.","DOI":"10.1186\/s13690-017-0180-1"},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3526113.3545660"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606759"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","unstructured":"Dae\u00a0Hyun Kim Seulgi Choi Juho Kim Vidya Setlur and Maneesh Agrawala. 2024. EMPHASISCHECKER: A Tool for Guiding Chart and Caption Emphasis. IEEE Transactions on Visualization and Computer Graphics 30 1 (2024) 120\u2013130. 10.1109\/TVCG.2023.3327150","DOI":"10.1109\/TVCG.2023.3327150"},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1145\/3242587.3242617"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606770"},{"key":"e_1_3_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/2556288.2557241"},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1549"},{"key":"e_1_3_3_2_32_2","unstructured":"Kenton Lee Luheng He Mike Lewis and Luke Zettlemoyer. 2017. End-to-end neural coreference resolution. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1707.07045 (2017)."},{"key":"e_1_3_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642196"},{"key":"e_1_3_3_2_34_2","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\u00a0al. 2020. Retrieval-augmented generation for knowledge-intensive nlp tasks. Advances in neural information processing systems 33 (2020) 9459\u20139474."},{"key":"e_1_3_3_2_35_2","unstructured":"Boyan Li Chong Chen Zhujun Xue Yinan Mei and Yuyu Luo. 2025. DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework. CoRR abs\/2510.17586 (2025)."},{"key":"e_1_3_3_2_36_2","doi-asserted-by":"crossref","unstructured":"Xinyu Liu Shuyu Shen Boyan Li Peixian Ma Runzhi Jiang Yuxin Zhang Ju Fan Guoliang Li Nan Tang and Yuyu Luo. 2025. A Survey of Text-to-SQL in the Era of LLMs: Where Are We and Where Are We Going? IEEE Trans. Knowl. Data Eng. 37 10 (2025) 5735\u20135754.","DOI":"10.1109\/TKDE.2025.3592032"},{"key":"e_1_3_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3581091"},{"key":"e_1_3_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.1145\/3586183.3606762"},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"crossref","unstructured":"Richard\u00a0E Mayer. 2005. Cognitive theory of multimedia learning. The Cambridge Handbook of Multimedia Learning 41 1 (2005) 31\u201348.","DOI":"10.1017\/CBO9780511816819.004"},{"key":"e_1_3_3_2_40_2","doi-asserted-by":"publisher","unstructured":"Axel Newe. 2016. Enriching scientific publications with interactive 3D PDF: An integrated toolbox for creating ready-to-publish figures. PeerJ Computer Science 2 (06 2016) e64. 10.7717\/peerj-cs.64","DOI":"10.7717\/peerj-cs.64"},{"key":"e_1_3_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.1145\/258549.258787"},{"key":"e_1_3_3_2_42_2","unstructured":"Constituency Parsing. 2009. Speech and language processing. Power Point Slides (2009) 20."},{"key":"e_1_3_3_2_43_2","unstructured":"Bowen Qin Binyuan Hui Lihan Wang Min Yang Jinyang Li Binhua Li Ruiying Geng Rongyu Cao Jian Sun Luo Si et\u00a0al. 2022. A survey on text-to-sql parsing: Concepts methods and future directions. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2208.13629 (2022)."},{"key":"e_1_3_3_2_44_2","doi-asserted-by":"publisher","DOI":"10.1145\/3490099.3511162"},{"key":"e_1_3_3_2_45_2","doi-asserted-by":"crossref","unstructured":"Edward Segel and Jeffrey Heer. 2010. Narrative visualization: Telling stories with data. IEEE Transactions on Visualization and Computer Graphics 16 6 (2010) 1139\u20131148.","DOI":"10.1109\/TVCG.2010.179"},{"key":"e_1_3_3_2_46_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642266"},{"key":"e_1_3_3_2_47_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-155860915-0\/50046-9"},{"key":"e_1_3_3_2_48_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_49_2","volume-title":"CIDR","author":"Tang Nan","year":"2024","unstructured":"Nan Tang, Chenyu Yang, Ju Fan, Lei Cao, Yuyu Luo, and Alon\u00a0Y. Halevy. 2024. VerifAI: Verified Generative AI. In CIDR. www.cidrdb.org."},{"key":"e_1_3_3_2_50_2","unstructured":"Textin Technologies. [n. d.]. TextIn Document AI Platform. https:\/\/www.textin.com\/ Accessed: 2025-09."},{"key":"e_1_3_3_2_51_2","unstructured":"Bret Victor. 2011. Explorable Explanations. https:\/\/worrydream.com\/ExplorableExplanations\/ Accessed: 2025-09."},{"key":"e_1_3_3_2_52_2","unstructured":"Bailin Wang Richard Shin Xiaodong Liu Oleksandr Polozov and Matthew Richardson. 2019. Rat-sql: Relation-aware schema encoding and linking for text-to-sql parsers. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1911.04942 (2019)."},{"key":"e_1_3_3_2_53_2","doi-asserted-by":"publisher","unstructured":"Liangwei Wang Zhan Wang Shishi Xiao Le Liu Fugee Tsung and Wei Zeng. 2025. VizTA: Enhancing Comprehension of Distributional Visualization with Visual-Lexical Fused Conversational Interface. Computer Graphics Forum 44 3 (2025) e70110. 10.1111\/cgf.70110","DOI":"10.1111\/cgf.70110"},{"key":"e_1_3_3_2_54_2","unstructured":"Yupeng Xie Zhiyang Zhang Yifan Wu Sirong Lu Jiayi Zhang Zhaoyang Yu Jinlin Wang Sirui Hong Bang Liu Chenglin Wu and Yuyu Luo. 2025. VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations. CoRR abs\/2510.22373 (2025)."},{"key":"e_1_3_3_2_55_2","unstructured":"Pengcheng Yin Graham Neubig Wen-tau Yih and Sebastian Riedel. 2020. TaBERT: Pretraining for joint understanding of textual and tabular data. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2005.08314 (2020)."},{"key":"e_1_3_3_2_56_2","doi-asserted-by":"publisher","DOI":"10.1145\/3746059.3747713"},{"key":"e_1_3_3_2_57_2","unstructured":"Zhengxuan Zhang Zhuowen Liang Yin Wu Teng Lin Yuyu Luo and Nan Tang. 2025. DataMosaic: Explainable and Verifiable Multi-Modal Data Analytics through Extract-Reason-Verify. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2504.10036 (2025)."},{"key":"e_1_3_3_2_58_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.91"},{"key":"e_1_3_3_2_59_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58589-1_34"},{"key":"e_1_3_3_2_60_2","unstructured":"Yizhang Zhu Liangwei Wang Chenyu Yang Xiaotian Lin Boyan Li Wei Zhou Xinyu Liu Zhangyang Peng Tianqi Luo Yu Li et\u00a0al. 2025. A Survey of Data Agents: Emerging Paradigm or Overstated Hype? arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2510.23587 (2025)."},{"key":"e_1_3_3_2_61_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517485"}],"event":{"name":"CHI 2026: CHI Conference on Human Factors in Computing Systems","location":"Barcelona Spain","acronym":"CHI '26","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3772318.3791534","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T09:28:07Z","timestamp":1776418087000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3772318.3791534"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,13]]},"references-count":60,"alternative-id":["10.1145\/3772318.3791534","10.1145\/3772318"],"URL":"https:\/\/doi.org\/10.1145\/3772318.3791534","relation":{},"subject":[],"published":{"date-parts":[[2026,4,13]]},"assertion":[{"value":"2026-04-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}