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CostAda achieves top-tier discovery quality while using at least 50% less budget compared to existing methods, revolutionizing how we approach resource allocation in LLM search processes.
AngelSpec achieves nearly double the inference speed of traditional methods while improving output quality by intelligently adapting to the specific demands of different tasks.
D-Cut transforms speculative decoding efficiency by cutting verification costs, achieving up to 3.0x speedup over traditional methods in high-concurrency scenarios.
