作者位次 #5/8ACL 2026Findings· Findings of ACL
Your LLM Agents are Temporally Blind: The Misalignment Between Tool Use Decisions and Human Time Perception
Yize Cheng · Arshia Soltani Moakhar · Chenrui Fan · Parsa Hosseini · Kazem Faghih · Zahra Sodagar · Wenxiao Wang · Soheil Feizi
摘要
Large language model (LLM) agents are increasingly used to interact with and execute tasks in dynamic environments. However, a critical yet overlooked limitation of these agents is that they, by default, assume a stationary context, failing to account for the real-world time elapsed between messa...