Molmo 2 | Reasoning across documents and images

2025-12-16 · Source: Ai2 · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics · Depth: Intermediate, quick

Summary

AI2's Momo 2 is a research model capable of understanding and processing information from multiple images, including complex data like tables. The model can localize specific data points within tables, such as identifying Gemini's performance on chart queries as 85.4. It can also compare information across different tables, for instance, determining that Chart-P scored 77.3 and calculating an 81.1-point gap between Chart-P and Gemini. Furthermore, Momo 2 can extract and reproduce table data into a LaTeX format, allowing users to copy and paste the generated code into platforms like Overleaf to recreate the tables accurately. The code and data for Momo 2 are publicly available on GitHub and Hugging Face, with a demo accessible on the AI2 playground.

Key takeaway

For research scientists working with document analysis or data extraction from visual sources, Momo 2 offers a robust solution for processing complex multi-table layouts. You can leverage its capabilities to automate data localization, cross-table comparisons, and LaTeX conversion, significantly streamlining your workflow. Explore the AI2 playground demo and the public code on GitHub to integrate its features into your projects.

Key insights

Momo 2 processes multi-image inputs, localizes data, compares information across tables, and extracts LaTeX table formats.

Principles

• Multi-image input processing
• Cross-table information comparison

Method

Momo 2 localizes data points, compares values across tables, and extracts structured information into LaTeX format, demonstrating advanced document understanding.

In practice

• Localize specific data in tables
• Compare metrics across multiple tables
• Convert table images to LaTeX

Topics

• Momo 2
• Multimodal AI
• Table Understanding
• Information Extraction
• LaTeX Generation

Best for: AI Scientist, Research Scientist, AI Researcher, AI Engineer, Data Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Ai2.