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Tables, typically two-dimensional and structured to store large amounts of data, are essential in daily activities like database queries, spreadsheet manipulations, web table question answering, and image table information extraction.
Language Models are Few-shot Learners
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
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TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data
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TaPas: Weakly Supervised Table Parsing via Pre-training
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Web Table Extraction, Retrieval, and Augmentation: A Survey
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Benchmarking Spreadsheet Systems
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TabFact: A Large-Scale Dataset for Table-Based Fact Verification
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ToTTo: A Controlled Table-To-Text Generation Dataset
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LayoutLM: Pre-training of Text and Layout for Document Image Understanding
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Dense Passage Retrieval for Open-Domain Question Answering
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A Theoretical Analysis of Deep Q-Learning
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SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems
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LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Dosovitskiy A, Beyer L, Kolesnikov A, Weissenborn D, Zhai X, Unterthiner T, Dehghani M, Minderer M, Heigold G, Gelly S, Uszkoreit J, Houlsby N · 2021
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TABBIE: Pretrained representations of tabular data
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The Power of Scale for Parameter-Efficient Prompt Tuning
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Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks
Dong H, Cheng Z, He X, Zhou M, Zhou A, Zhou F, Liu A, Han S, Zhang D · 2022
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TAPEX: Table Pre-training via Learning a Neural SQL Executor
Liu Q, Chen B, Guo J, Ziyadi M, Lin Z, Chen W, Lou J · 2022
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Finetuned Language Models are Zero-Shot Learners
Wei J, Bosma M, Zhao V, Guu K, Yu A W, Lester B, Du N, Dai A M, Le Q V · 2022
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Wei J, Wang X, Schuurmans D, Bosma M, ichter b, Xia F, Chi E, Le Q V, Zhou D · 2022
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A Survey on Table Question Answering: Recent Advances
Jin N, Siebert J, Li D, Chen Q · 2022
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A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions
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LoRA: Low-rank Adaptation of Large Language Models
Hu E J, Shen Y, Wallis P, Allen-Zhu Z, Li Y, Wang S, Wang L, Chen W · 2022
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TableFormer: Table Structure Understanding with Transformers
Nassar A, Livathinos N, Lysak M, Staar P · 2022
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LlamaIndex
Liu J · 2022
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Transformers for Tabular Data Representation: A Survey of Models and Applications
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Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning
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