TableVision: A Large-Scale Benchmark for Spatially Grounded Reasoning over Complex Hierarchical Tables

1. 1Identify the perception bottleneck in current multimodal large language models
2. 2Analyze the limitations of existing models in handling complex hierarchical tables
3. 3Develop and utilize the TableVision benchmark to evaluate and improve model performance
4. 4Apply the insights from TableVision to fine-tune models for better spatially grounded reasoning

Data scientists and AI engineers working on multimodal large language models can benefit from this benchmark to improve their models' reasoning performance on complex tables

💡 The perception bottleneck in multimodal large language models limits their ability to reason over complex hierarchical tables

📊 TableVision: a new benchmark for spatially grounded reasoning over complex tables 🚀