# Q-Future/A-Bench

<https://repo.masters-masters.com/en/repos/Q-Future/A-Bench>

[Home](https://repo.masters-masters.com/en) › [Q-Future](https://repo.masters-masters.com/en/owners/Q-Future) › [A-Bench](https://repo.masters-masters.com/en/repos/Q-Future/A-Bench)

Q-Future/A-Bench has 117 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICLR 2025\] What do we expect from LMMs as AIGI evaluators and how do they…

| Field | Value |
| --- | --- |
| Owner | [Q-Future](https://repo.masters-masters.com/en/owners/Q-Future) |
| Stars | 117 |
| Forks | 4 |
| Language | No language |
| License | None |
| Created | 2024 |
| Topics | ai-generated-images, evaluation, lmm |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Q-Future/A-Bench](https://github.com/Q-Future/A-Bench) |

## Repository

\[ICLR 2025\] What do we expect from LMMs as AIGI evaluators and how do they perform?

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.