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DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents

88 upvotes · 19 AUG 2026 · Hangrui Xu, Jiarui Wang, Yang Yang et al.

This paper proposes a new framework for training autonomous agents to perform multi-turn tool-calling tasks, addressing the challenge of dealing with vast solution spaces by using a diamond topology-aware approach. Practitioners may care about this research because it can help improve the performance of autonomous agents in complex tasks.

self-distillationcontinual learninglarge language modelsinteraction-state transition graphsdiamond topology