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Abstract

Summary

This paper proposes substantial improvements to the process of tabular data extraction through fine-tuning a Table Transformer model. We demonstrate the increased accuracy with some examples and evaluate some alternative approaches, such as multimodal Large Language Models.

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/content/papers/10.3997/2214-4609.202539050
2025-03-24
2025-12-13
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References

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/content/papers/10.3997/2214-4609.202539050
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