arxiv
PublishedAugust 29, 2026 at 4:00 AM
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Mutual Debiasing via Dual-Seed Comparison for Probabilistic Sampling in Large Language Models
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arXiv:2608.26161v1 Announce Type: cross Abstract: Although Large Language Models (LLMs) demonstrate remarkable capabilities in reasoning and decision-making, high-fidelity probabilistic sampling remains a persistent challenge. When generating random variables, LLMs consistently exhibit systematic bi
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Originally published on arxiv ↗