CalBench: Evaluating Coordination-Privacy Trade-offs in Multi-Agent LLMs 事件

CalBench: Evaluating Coordination-Privacy Trade-offs in Multi-Agent LLMs arXiv:2605.09823v2 Announce Type: replace-cross Abstract: Personal AI assistants are beginning to act as delegates with access to calendars, inboxes, and user preferences. Calendar scheduling makes the trust problem concrete: an assistant must coordinate with other assistants while deciding what to reveal about the person it represents. We introduce CalBench, a controlled benchmark for multi-agent calendar scheduling under