Chopthin-Consensus Power Sampling: A Diversity-Preserving Approach to LLM Decoding
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arXiv:2609.12243v1 Announce Type: new Abstract: Inference-time power sampling via Sequential Monte Carlo (SMC) can substantially improve large language model (LLM) reasoning without requiring post-training. However, many existing SMC approaches rely on equal-weight resampling, which can aggressivel…
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- 2026-09-14 04:00 · arXiv cs.CL
Chopthin-Consensus Power Sampling: A Diversity-Preserving Approach to LLM Decoding
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