DART-SD Improves Multi-Turn Tool-Calling via Diamond-Topology Aware Tuning
August 18, 2026
DART-SD prevents topological collapse in multi-turn agents by replacing monolithic trajectory imitation with topology-guided localized correction. This approach preserves policy diversity when models encounter multiple valid paths to achieve sub-goals.
HOW THIS AFFECTS YOU
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builderThis method can increase the reliability and diversity of autonomous agents using complex toolsets.
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researcherYou can better train agents for tasks with order-independent sub-goals without penalizing valid alternative paths.