Papers by Longhui Ma
COLA: Collaborative Multi-Agent Framework with Dynamic Task Scheduling for GUI Automation (2025.emnlp-main)
Copied to clipboard
| Challenge: | Existing methods for implementing LLMs are limited by their complexity and lack fault tolerance mechanism. |
| Approach: | They propose a scenario-aware agent Task Scheduler that decomposes task requirements into atomic capability units and dynamically selects the optimal agent from a decision agent pool. |
| Outcome: | The proposed framework achieves competitive performance among GUI Agent methods with an average accuracy of 31.89% on the GAIA dataset. |