发表机构
The Hong Kong Polytechnic University（香港理工大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
Org-Agent提出以约束为中心的推理框架，通过任务分解、依赖图与拓扑排序，实现跨用户协调与记忆利用，在MUSES-Bench和GroupMemBench上验证了有效性。
AI 中文摘要
服务于组织的语言模型智能体必须协调来自多个用户的请求，同时利用分布在其交互过程中的知识。我们确定了该场景下两种互补的能力，即跨用户交互与决策制定，以及跨用户记忆与知识使用。这两种能力都受到组织约束的支配，这些约束涉及三个方面：用户身份、权限和访问许可；信息的归属与时间有效性；以及解决跨用户冲突需求的规则和联合决策的完成要求。这些约束决定了在行动进行之前必须获取哪些信息或决策，以及在执行过程中必须满足哪些条件。受此启发，我们引入了Org-Agent，一个统一的以约束为中心的推理框架，它将任务执行组织为三个阶段。具体而言，Org-Agent将任务分解为原子子任务，并构建一个任务依赖图，其边编码了子任务之间的依赖关系。基于该图，它通过拓扑排序按依赖顺序调度子任务。然后，它在考虑任务约束的同时执行每个子任务，并辅以证据获取和记忆管理工具。在MUSES-Bench和GroupMemBench上的实验证明了Org-Agent在两种能力上的有效性，消融研究进一步支持了依赖建模和工具使用的贡献。
英文摘要
Language model agents serving organizations must coordinate requests from multiple users while using knowledge distributed across their interactions. We identify two complementary capabilities for this setting, namely cross-user interaction and decision-making, as well as cross-user memory and knowledge use. Both capabilities are governed by organizational constraints across three aspects: user identity, authority, and access permissions; the attribution and temporal validity of information; and rules for resolving conflicting requirements across users and completion requirements for joint decisions. These constraints shape what information or decisions must be obtained before an action can proceed and what conditions must be satisfied during its execution. Motivated by this, we introduce Org-Agent, a unified constraint-centric reasoning framework that organizes task execution in three stages. Specifically, Org-Agent decomposes a task into atomic subtasks and constructs a task dependency graph whose edges encode the dependencies among them. Building on this graph, it schedules the subtasks in dependency order through topological sorting. It then executes each subtask while accounting for the task's constraints, supported by evidence-acquisition and memory-management tools. Experiments on MUSES-Bench and GroupMemBench demonstrate the effectiveness of Org-Agent on both capabilities, and ablations further support the contributions of dependency modeling and tool use.
