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By optimizing both tree structure and node budget, CaDDTree achieves superior token throughput without the need for offline budget searches, revolutionizing speculative decoding efficiency.
UCE enables LLM agents to evolve their knowledge dynamically, achieving a staggering 96.3% success rate in complex tasks by leveraging a structured experience library.
