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Recent large language models (LLMs) have advanced table understanding capabilities but rely on converting tables into text sequences.
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HiTab: A hierarchical table dataset for question answering and natural language generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, and Dongmei Zhang. 2022 · 2022
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TAPEX: Table pre-training via learning a neural SQL executor
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Hytrel: Hypergraph-enhanced tabular data representation learning
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SCITAB: A challenging benchmark for compositional reasoning and claim verification on scientific tables
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Hello gpt-4o
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The linear representation hypothesis and the geometry of large language models
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Effective distillation of table-based reasoning ability from llms
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Multimodal Table Understanding
Mingyu Zheng, Xinwei Feng, Qingyi Si, Qiaoqiao She, Zheng Lin, Wenbin Jiang, and Weiping Wang. 2024 · 2024
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