Adversarial Speculative Reasoning Improves Long Horizon Agents
This work recast the speculative decoding mechanism from a pure accelerator into an active allocator for context precision that improves the accuracy of long-horizon agents by training 0.06% to 0.28% of hosted parameters.
Hong-Yin Luo, Wei Fang, Lijie Yang et al.
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