5 results found Sort:
- Filter by Primary Language:
- Jupyter Notebook (2)
- Python (2)
- +
mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Created
2023-07-04
135 commits to main branch, last one 4 months ago
A curated list of recent and past chart understanding work based on our IEEE TKDE survey paper: From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models...
Created
2024-01-10
61 commits to main branch, last one 8 days ago
[NeurIPS 2024] CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
Created
2024-05-30
33 commits to main branch, last one 3 days ago
[ICLR2025 Oral] ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding
Created
2024-08-29
76 commits to master branch, last one 24 days ago
Code and data for the ACL 2024 Findings paper "Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning"
Created
2023-12-15
31 commits to master branch, last one 10 months ago