# shikiw/Modality-Integration-Rate

<https://repo.masters-masters.com/en/repos/shikiw/Modality-Integration-Rate>

[Home](https://repo.masters-masters.com/en) › [shikiw](https://repo.masters-masters.com/en/owners/shikiw) › [Modality-Integration-Rate](https://repo.masters-masters.com/en/repos/shikiw/Modality-Integration-Rate)

shikiw/Modality-Integration-Rate has 114 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICCV 2025\] The official code of the paper "Deciphering…

| Field | Value |
| --- | --- |
| Owner | [shikiw](https://repo.masters-masters.com/en/owners/shikiw) |
| Stars | 114 |
| Forks | 2 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | chatbot, gpt-4o, large-multimodal-models, llama, llava, multimodal, vision-language-learning, vision-language-model |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [shikiw/Modality-Integration-Rate](https://github.com/shikiw/Modality-Integration-Rate) |

## Repository

\[ICCV 2025\] The official code of the paper "Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate".

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.