Do Proactive Agents Need an LLM to Decide When to Act?
This work introduces a temporal-graph-learning (TGL) controller that learns these predictions jointly and supplies both outputs in one forward pass, and shows that a small graph model can handle both decisions and improve the language agents it controls.
Xiaoze Liu, Ruowang Zhang, Amir H. Abdi et al.
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