Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening
Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening explores A novel training-free algorithm sharply improves LLM reasoning efficiency and drastically reduces inference costs.. Commercial viability score: 5/10 in LLM Optimization.
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