# zhangbaijin/From-Redundancy-to-Relevance

<https://repo.masters-masters.com/en/repos/zhangbaijin/From-Redundancy-to-Relevance>

[Home](https://repo.masters-masters.com/en) › [zhangbaijin](https://repo.masters-masters.com/en/owners/zhangbaijin) › [From-Redundancy-to-Relevance](https://repo.masters-masters.com/en/repos/zhangbaijin/From-Redundancy-to-Relevance)

zhangbaijin/From-Redundancy-to-Relevance has 130 stars on GitHub. Its RepoMasters card: Prototype tier. \[NAACL 2025 Oral\] From redundancy to relevance…

| Field | Value |
| --- | --- |
| Owner | [zhangbaijin](https://repo.masters-masters.com/en/owners/zhangbaijin) |
| Stars | 130 |
| Forks | 11 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [zhangbaijin/From-Redundancy-to-Relevance](https://github.com/zhangbaijin/From-Redundancy-to-Relevance) |

## Repository

\[NAACL 2025 Oral\] From redundancy to relevance: Enhancing explainability in multimodal large language models

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.