Large Language Gibbs uses LLM conditional distributions as transition operators for iterative variable resampling. This method enables coherent, order-independent probabilistic inference by achieving a stationary distribution that balances local conditionals, offering a practical alternative to single-pass generation for structured reasoning tasks.
Large Language Gibbs for Structured Probabilistic Inference
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