mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Rule-based spreadsheet data extraction and transformation
Code for the paper "Towards Explainable Table Interpretation Using Multi-view Explanations". ICDE 2023.
Curated list of awesome datasets for various table understanding tasks
[EMNLP 2021] Table-based Fact Verification with Salience-aware Learning.
Curated list of awesome paper for table understanding tasks
ChemTable is a large-scale benchmark designed to test the capabilities of multimodal large language models (MLLMs) in understanding real-world chemical tables—one of the most information-dense and visually complex formats in scientific literature.
Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data
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