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Retrieval-equivalence collapse undermines the effectiveness of RL search agents, but Harness-G's innovative framework dramatically enhances query generation and retrieval performance.
LLMs can plan complex trips far more effectively when their reasoning is structured as a "forest" of parallel behavior trees, each handling a subtask and coordinated globally.