
The author proposes the ConAgents framework to address limitations in tool learning by modularizing the workflow into three agents and enabling adaptive calibration based on feedback from the tool environment.


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Learning-to-Use-Tools-via-Cooperative-and-Interactive-Agents-ConAgents-Framework


Learning to Use Tools via Cooperative and Interactive Agents: ConAgents Framework


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ConAgents framework enhances tool learning by enabling cooperative and interactive agents to adaptively calibrate themselves, improving task performance.


cooperative-and-interactive-agents-for-tool-learning-conagents-framework


Cooperative and Interactive Agents for Tool Learning: ConAgents Framework



Large language models can effectively learn to use external tools through cooperation and interaction with the ConAgents framework.
