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News/Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
arxiv
PublishedJune 30, 2026 at 4:00 AM

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization

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arXiv:2602.11351v2 Announce Type: replace Abstract: Proactive large language model (LLM) agents aim to actively plan, query, and interact over multiple turns, enabling efficient task completion beyond passive instruction following and making them essential for real-world, user-centric applications.

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