Chopthin-Consensus Power Sampling: A diversity-preserving approach to LLM decoding
Read the original at arxiv.org→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,...
Original headline: "Chopthin-Consensus Power Sampling: A Diversity-Preserving Approach to LLM Decoding"
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- Sep 14, 04:00 UTC arXiv cs.CL lead source Chopthin-Consensus Power Sampling: A Diversity-Preserving Approach to LLM Decoding