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HiGram cuts through irrelevant memory noise, boosting answer quality and efficiency in long-term reasoning tasks by leveraging a hierarchical structure and path-level localization.
OrchBench reveals that preserving task-critical information is more crucial than simply increasing agent numbers, challenging conventional wisdom in multi-agent system design.
