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This paper explores capabilities of Vision Language Models on spreadsheet comprehension.
Tabfact: A large-scale dataset for table-based fact verification
Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, and William Yang Wang. 2020 · 1909
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Table header detection and classification
Jing Fang, Prasenjit Mitra, Zhi Tang, and C Lee Giles. 2012 · 2012
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Compositional semantic parsing on semi-structured tables
Panupong Pasupat and Percy Liang. 2015 · 2015
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The e2e dataset: New challenges for end-to-end generation
Jekaterina Novikova, Ondřej Dušek, and Verena Rieser. 2017 · 2017
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The future of spreadsheets in the big data era
David Birch, David Lyford-Smith, and Yike Guo. 2018 · 2018
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Tablesense: Spreadsheet table detection with convolutional neural networks
Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, and Dongmei Zhang. 2019 · 2019
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Tuta: Tree-based transformers for generally structured table pre-training
Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, and Dongmei Zhang. 2021 · 2021
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Table Pretraining: A survey on model architectures, pretraining objectives, and downstream tasks
Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, and Dongmei Zhang. 2022 · 2022
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Tableformer: table structure understanding with transformers. corr abs/2203.01017 (2022)
A Nassar, N Livathinos, M Lysak, and PWJ Staar · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
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Jiayan Guo, Lun Du, and Hengyu Liu. 2023 · 2023
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Improving table structure recognition with visual-alignment sequential coordinate modeling
Yongshuai Huang, Ning Lu, Dapeng Chen, Yibo Li, Zecheng Xie, Shenggao Zhu, Liangcai Gao, and Wei Peng. 2023 · 2023
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Structgpt: A general framework for large language model to reason over structured data
Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Wayne Xin Zhao, and Ji-Rong Wen. 2023 · 2023
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Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, et al. 2023 · 2023
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Huss: A heuristic method for understanding the semantic structure of spreadsheets
Xindong Wu, Hao Chen, Chenyang Bu, Shengwei Ji, Zan Zhang, and Victor S Sheng. 2023 · 2023
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Tablellama: Towards open large generalist models for tables
Tianshu Zhang, Xiang Yue, Yifei Li, and Huan Sun. 2023 · 2023
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Sheetagent: A generalist agent for spreadsheet reasoning and manipulation via large language models
Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, and Jianye Hao. 2024 · 2024
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Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, and Surajit Chaudhuri. 2023 · 2023
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An end-to-end multi-task learning model for image-based table recognition
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Assessing gpt4-v on structured reasoning tasks
Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, and Gust Verbruggen. 2023 · 2023
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Tabular representation, noisy operators, and impacts on table structure understanding tasks in llms
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Struc-bench: Are large language models really good at generating complex structured data?
Xiangru Tang, Yiming Zong, Yilun Zhao, Arman Cohan, and Mark Gerstein. 2023 · 2023
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Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, and Dongmei Zhang. 2023a
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Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, and Dongmei Zhang. 2023b
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Naihao Deng, Zhenjie Sun, Ruiqi He, Aman Sikka, Yulong Chen, Lin Ma, Yue Zhang, and Rada Mihalcea. 2024 · 2024
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Large language models for tabular data: Progresses and future directions
Haoyu Dong and Zhiruo Wang. 2024 · 2024
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What matters when building vision-language models?
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