# DataArcTech/ChartMoE

<https://repo.masters-masters.com/en/repos/DataArcTech/ChartMoE>

[Home](https://repo.masters-masters.com/en) › [DataArcTech](https://repo.masters-masters.com/en/owners/DataArcTech) › [ChartMoE](https://repo.masters-masters.com/en/repos/DataArcTech/ChartMoE)

DataArcTech/ChartMoE has 101 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICLR2025 Oral\] ChartMoE: Mixture of Diversely Aligned Expert Connector…

| Field | Value |
| --- | --- |
| Owner | [DataArcTech](https://repo.masters-masters.com/en/owners/DataArcTech) |
| Stars | 101 |
| Forks | 10 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2024 |
| Topics | chart-understanding, multimodal-large-language-models, transformers, vision-language-model, code-generation, json-generation, table-generation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [DataArcTech/ChartMoE](https://github.com/DataArcTech/ChartMoE) |

## Repository

\[ICLR2025 Oral\] ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.