Power-SMC: Low-Latency Sequence-Level Power Sampling for Training-Free LLM Reasoning

Name: Power-SMC: Low-Latency Sequence-Level Power Sampling for Training-Free LLM Reasoning
Uploaded: 2026-10-06T02:07:10.816444+00:00
Duration: 321 s
Description: Power-SMC is a training-free method that approximates sequence-level power sampling by using parallel candidate continuations and sequential Monte Carlo techniques. It sharpens generation toward high-likelihood sequences without modifying model weights, significantly reducing inference latency compared to older methods like Metropolis–Hastings.

Power-SMC is a training-free method that approximates sequence-level power sampling by using parallel candidate continuations and sequential Monte Carlo techniques. It sharpens generation toward high-likelihood sequences without modifying model weights, significantly reducing inference latency compared to older methods like Metropolis–Hastings.

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