Jerry Wang

The work introduces ANTMAN, a multi-agent information-seeking framework that treats evolving unresolved information needs, rather than input partitions, as the unit of runtime coordination, maintaining a revisable Need Graph that tracks unresolved requirements, accumulated evidence, prior attempts, and search progress to control worker selection, routing, and task-local recovery; across multi-document QA, controlled long-context scaling, and structured navigation, ANTMAN increases active coordination by only 1.23x under a 16x increase in searchable context, compared with more than 15x for partition-driven baselines, while preserving strong answer quality and retaining most of its performance when execution is delegated to substantially smaller 8B worker models.

The work introduces ANTMAN, a multi-agent information-seeking framework that treats evolving unresolved information needs, rather than input partitions, as the unit of runtime coordination, maintaining a revisable Need Graph that tracks unresolved requirements, accumulated evidence, prior attempts, and search progress to control worker selection, routing, and task-local recovery; across multi-document QA, controlled long-context scaling, and structured navigation, ANTMAN increases active coordination by only 1.23x under a 16x increase in searchable context, compared with more than 15x for partition-driven baselines, while preserving strong answer quality and retaining most of its performance when execution is delegated to substantially smaller 8B worker models.