DART-SD: Diamond-topology Aware Retrieval and Tuning for Self-Distillation of Multi-Turn Tool-Calling Agents
- 类型：arxiv
- 标识：2608.18524
- 链接：https://arxiv.org/abs/2608.18524
- 主分类：agent
- 形态：method
- TLDR：Equipping Large Language Models (LLMs) with multi-turn tool-calling capabilities is essential for building autonomous agents. However, progress is fundamentally limited by the reliance on full-length trajectory imitation. For tasks involving multiple order-independent sub-goals, the optimal solution space forms a vast combinatorial diamond lattice. Forcing this rich topology into monolithic trajectories causes a severe topological collapse, indiscriminately penalizing valid alternative explorations and severely degrading policy diversity. To address this, we propose DART-SD (Diamond-topology A
- 副分类：rag
- 待LLM分类：否
- 来源文件：
- /inbox/tom/_candidates/2026-08-31-agent-rag-longcontext-candidates.json