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Results for “large language model decoding”

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LLMsSep 14, 20261 min read

Chopthin-Consensus: Resampling for LLM Diversity and Accuracy

The research introduces Chopthin-Consensus Power Sampling (CCPS), a method for LLM decoding that preserves reasoning diversity and improves accuracy. Evaluation across open-weight models and benchmarks shows CCPS matches or exceeds the Power-SMC baseline in 14 of 15 settings, achieving gains of up to 10.6 percentage points.

From arXiv cs.CL

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