AI RESEARCH

Thinking with Tables: Enhancing Multi-Modal Tabular Understanding via Neuro-Symbolic Reasoning

arXiv CS.CL

ArXi:2603.24004v1 Announce Type: new Multimodal Large Language Models (MLLMs) have nstrated remarkable reasoning capabilities across modalities such as images and text. However, tabular data, despite being a critical real-world modality, remains relatively underexplored in multimodal learning.