Chopthin-Consensus Power Sampling: A Diversity-Preserving Approach to LLM Decoding

arXiv:2609.12243 · cs.CL, cs.AI, stat.ML · Submitted 2026-09-10 · Read on arXiv

cs.CL, cs.AI, stat.ML

Submitted: 2026-09-10

Updated: 2026-09-10

Comments: Accepted at the COLM 2026 Workshop on Efficient Reasoning

Code: https://github.com/MinooAhmadii/chopthin-consensus-power-sampling

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Chopthin-Consensus Power Sampling — 2× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Sequential Monte Carlo — 1× in this paper
• Sequential Monte Carlo (SMC) — 1× in this paper · explained in 2 episodes

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