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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.
State-of-the-art performance in zero-shot 3D anomaly detection is achieved by seamlessly fusing color and geometric features, revealing structural and textural anomalies that others miss.
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.