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Structured Inference with Large Language Gibbs

A new scheme for structured probabilistic inference, Large Language Gibbs, uses conditional distributions of LLMs as transition operators to iteratively sample structured objects, rather than relying on single-pass autoregressive generation.

Key takeaways
  • Structured probabilistic inference scheme for LLMs.
  • Iterative sampling of structured objects.
  • Conditional distributions of LLM as transition operators.
aarXiv#structured inference#probabilistic inference#large language models