Summary of Mmac-copilot: Multi-modal Agent Collaboration Operating System Copilot, by Zirui Song et al.
MMAC-Copilot: Multi-modal Agent Collaboration Operating System Copilot
by Zirui Song, Yaohang Li, Meng Fang, Zhenhao Chen, Zecheng Shi, Yuan Huang, Ling Chen
First submitted to arxiv on: 28 Apr 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed Multi-Modal Agent Collaboration framework (MMAC-Copilot) leverages the collective expertise of diverse agents to enhance interaction ability with operating systems. The framework enables team collaboration, allowing each participating agent to contribute insights based on their specific domain knowledge, reducing hallucination associated with knowledge domain gaps. MMAC-Copilot was evaluated using both the GAIA benchmark and a newly introduced Visual Interaction Benchmark (VIBench), which focuses on non-API-interactable applications across various domains, including 3D gaming, recreation, and office scenarios. The framework achieved exceptional performance on GAIA, with an average improvement of 6.8% over existing leading systems, and demonstrated remarkable capability on VIBench, particularly in managing various methods of interaction within systems and applications. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary MMAC-Copilot is a new way to help computers work together to do tasks better. Right now, computers that can think for themselves have trouble working with the world around them because they only know one way to interact. MMAC-Copilot lets many different “experts” share their knowledge and ideas to improve how well the computer interacts with things. This helps reduce mistakes caused by not knowing something. The researchers tested this new way of working together using two different tests: GAIA and a new test called VIBench. VIBench looks at how computers work with things like games, recreation, and office tools. MMAC-Copilot did really well on both tests! |
Keywords
» Artificial intelligence » Hallucination » Multi modal
