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cs.AI2025
Real-Time Reasoning Agents in Evolving Environments
Yule Wen, Yixin Ye, Yanzhe Zhang +2
Agents in the real world must make not only logical but also timely judgments. This requires continuous awareness of the dynamic environment: hazards emerge, opportunities arise, a…
cs.AI2025
AutoLibra: Agent Metric Induction from Open-Ended Human Feedback
Hao Zhu, Phil Cuvin, Xinkai Yu +3
Agents are predominantly evaluated and optimized via task success metrics, which are coarse, rely on manual design from experts, and fail to reward intermediate emergent behaviors.…