Large Multimodal Models Evaluation: A Survey

This repository serves as a comprehensive survey and organizational hub for Large Multimodal Model (LMM) evaluation benchmarks, datasets, and research papers. It targets researchers and practitioners in the LMM field, providing a centralized resource to navigate the rapidly evolving landscape of LMM assessment across understanding, generation, and specialized tasks.

How It Works

The project complements the paper "Large Multimodal Models Evaluation: A Survey" by systematically cataloging and categorizing existing evaluation benchmarks. It structures resources into key areas: understanding (general, specialized, safety), generation (image, video, audio, 3D), and community platforms/leaderboards. This organized approach facilitates efficient discovery and comparison of evaluation methodologies.

Quick Start & Requirements

The README does not provide explicit installation instructions or software requirements. It primarily directs users to the associated research paper and a project page for further details.

Highlighted Details

• Features an extensive taxonomy of LMM evaluation benchmarks, covering diverse capabilities such as general and specialized understanding, image/video/audio/3D generation, safety, and AI agent performance.
• Includes detailed tables listing numerous benchmarks, each with links to their respective papers and project pages (predominantly GitHub repositories).
• Actively encourages community contributions via pull requests, with provisions for acknowledging significant contributors in future paper updates.

Maintenance & Community

The repository is designated for continuous maintenance and updates to ensure long-term value. Community contributions are welcomed through pull requests. Users are encouraged to star the repository to indicate its utility.

Licensing & Compatibility

No specific open-source license is declared within the provided README content.

Limitations & Caveats

The README does not specify any known limitations, alpha status, or caveats regarding the project's scope or current state.